* using log directory ‘/Users/ripley/R/packages/tests-Accelerate/FDboost.Rcheck’
* using R Under development (unstable) (2023-09-17 r85158)
* using platform: aarch64-apple-darwin22.6.0
* R was compiled by
    Apple clang version 15.0.0 (clang-1500.0.40.1)
    GNU Fortran (GCC) 12.2.0
* running under: macOS Ventura 13.5.2
* using session charset: UTF-8
* using option ‘--no-stop-on-test-error’
* checking for file ‘FDboost/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘FDboost’ version ‘1.1-2’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘FDboost’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking whether startup messages can be suppressed ... OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking sizes of PDF files under ‘inst/doc’ ... OK
* checking installed files from ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘factorize_test_irregular.R’
  Running ‘factorize_test_regular.R’
  Running ‘general_tests.R’
 ERROR
Running the tests in ‘tests/general_tests.R’ failed.
Complete output:
  > 
  > 
  > library(FDboost)
  Loading required package: mboost
  Loading required package: parallel
  Loading required package: stabs
  This is FDboost 1.1-2. 
  > library(gamboostLSS)
  
  Attaching package: 'gamboostLSS'
  
  The following object is masked from 'package:stats':
  
      model.weights
  
  > 
  > # print(sessionInfo())
  > 
  > # simulated data ----------------------------------------------------------
  > 
  > 
  > if(require(refund)){
  +   
  +   ## simulate a small data set 
  +   print("simulate data")
  +   set.seed(230)
  +   pffr_data <- pffrSim(n = 25, nxgrid = 21, nygrid = 19)
  +   pffr_data$X1 <- scale(pffr_data$X1, scale = FALSE)
  +   
  +   dat <- as.list(pffr_data)
  +   dat$tvals <- attr(pffr_data, "yindex")
  +   dat$svals <- attr(pffr_data, "xindex")
  +   
  +   dat$Y_scalar <- dat$Y[ , 10]
  +   
  +   dat$Y_long <- c(dat$Y)
  +   dat$tvals_long <- rep(dat$tvals, each = nrow(dat$Y))
  +   dat$id_long <- rep(1:nrow(dat$Y), ncol(dat$Y))
  +   
  +   # second functional covariate
  +   dat$s2 <- seq(0, 1, l = 15)
  +   dat$X2 <- I(matrix(rnorm(25 * 15), nrow = 25))
  +   dat$X2 <- scale(dat$X2, scale = FALSE)
  +   
  + 
  +   # model fit ---------------------------------------------------------------
  + 
  +   print("model fit")
  +   
  +   ## response matrix for response observed on one common grid 
  +   m <- FDboost(Y ~ 1 + bhist(X1, svals, tvals, knots = 10, df = 6) 
  +                + bsignal(X1, svals, knots = 6, df = 3)
  +                + bbsc(xsmoo, knots = 6, df = 3) 
  +                + bolsc(xte1, df = 3)
  +                + brandomc(xte2, df = 3), 
  +                timeformula = ~ bbs(tvals, knots = 9, df = 2, differences = 1), 
  +                control = boost_control(mstop = 10), data = dat)
  +   
  +   ## response in long format
  +   ml <- FDboost(Y_long ~ 1 + bhist(X1, svals, tvals_long, knots = 6, df = 12) 
  +                 + bsignal(X1, svals, knots = 6, df = 4)
  +                 + bbsc(xsmoo, knots = 6, df = 4) 
  +                 + bolsc(xte1, df = 4)
  +                 + brandomc(xte2, df = 4), 
  +                 timeformula = ~ bbs(tvals_long, knots = 8, df = 3, differences = 1), 
  +                 id = ~ id_long, 
  +                 offset_control = o_control(k_min = 10), 
  +                 control = boost_control(mstop = 10), data = dat)
  +   
  +   ## scalar response 
  +   ms <- FDboost(Y_scalar ~ 1 + bsignal(X1, svals, knots = 6, df = 2)
  +                 + bbs(xsmoo, knots = 6, df = 2, differences = 1) 
  +                 + bols(xte1, df = 2) 
  +                 + bols(xte2, df = 2)
  +                 + bols(xfactor, df = 2), 
  +                 timeformula = NULL, 
  +                 control = boost_control(mstop = 50), data = dat)
  +   
  +   ## scalar response and interaction effect between two functional variables
  +   ms_funint <- FDboost(Y_scalar ~ 1 + 
  +                          bsignal(X1, svals, knots = 9, df = 3) %X% bsignal(X2, s2, knots = 9, df = 3), 
  +                 timeformula = NULL, 
  +                 control = boost_control(mstop = 50), data = dat)
  +   
  +   ## GAMLSS with functional response 
  +   mlss <- FDboostLSS(Y ~ 1 + bsignal(X1, svals, knots = 6, df = 3)               
  +                      + bbsc(xsmoo, knots = 6, df = 3) 
  +                      + bolsc(xte1, df = 3), 
  +                      timeformula = ~ bbs(tvals, knots = 9, df = 3, differences = 1), 
  +                      control = boost_control(mstop = 20), data = dat, 
  +                      method = "noncyclic")
  +   
  +   ## GAMLSS with scalar response 
  +   mslss <- FDboostLSS(Y_scalar ~ 1 + bsignal(X1, svals, knots = 6, df = 3)
  +                       + bbs(xsmoo, knots = 6, df = 3, differences = 1), 
  +                       timeformula = NULL, 
  +                       control = boost_control(mstop = 50), data = dat, 
  +                       method = "noncyclic")
  +   
  +   ## response matrix with factor + continuous time variable
  +   
  +   # linear array model implemented only for matrices
  +   # => tvals and factor for dimensions have to be flattened
  +   dat2D <- with(dat, expand.grid(
  +     tvals = tvals, 
  +     xfactor = factor(2:3)
  +   ))
  +   dat2D <- as.list(dat2D[order(dat2D$xfactor), ])
  +   dat2D$Y <- cbind(
  +     dat$Y[dat$xfactor == "2", ],
  +     dat$Y[dat$xfactor == "3", ]
  +     )
  +   dat2D$xsmoo <- dat$xsmoo[dat$xfactor == "2"] 
  +     
  +   m2D <- FDboost(Y ~ bbsc(xsmoo), 
  +                  timeformula = ~ bols(xfactor) %X% bbs(tvals),
  +                  control = boost_control(mstop = 20), 
  +                  data = dat2D)
  +   
  +   
  +   # test some methods and utility functions  --------------------------------
  +   
  +   ## test plot()
  +   print("plot effects")
  +   par(mfrow = c(1,1))
  +   plot(m, ask = FALSE)
  +   plot(ml, ask = FALSE)
  +   plot(ms, ask = FALSE)
  +   plot(mlss$mu, ask = FALSE) 
  +   plot(mlss$sigma, ask = FALSE)
  +   
  +   ## test applyFolds()
  +   print("run applyFolds")
  +   set.seed(123)
  +   applyFolds(m, folds = cv(rep(1, length(unique(m$id))), B = 2), grid = 0:5)
  +   #applyFolds(ml, folds = cv(rep(1, length(unique(ml$id))), B = 2), grid = 0:5)
  +   #applyFolds(ms, folds = cv(rep(1, length(unique(ms$id))), B = 2), grid = 0:5)
  + 
  +   ## test cvrisk()
  +   print("run cvrisk")
  +   set.seed(123)
  +   cvrisk(m, folds = cvLong(id = m$id, weights = model.weights(m), B = 2), grid = 0:5)
  +   cvrisk(ml, folds = cvLong(id = ml$id, weights = model.weights(ml), B = 2), grid = 0:5)
  +   cvrisk(ms, folds = cvLong(id = ms$id, weights = model.weights(ms), B = 2), grid = 0:5)
  +   cvrisk(ms_funint, folds = cvLong(id = ms$id, weights = model.weights(ms), B = 2), grid = 0:5)
  +   
  +   cvrisk(mlss, folds = cv(model.weights(mlss[[1]]), B = 2),
  +          grid = 1:5, trace = FALSE)
  +   cvrisk(mslss, folds = cv(model.weights(mslss[[1]]), B = 2),
  +          grid = 1:5, trace = FALSE)
  +   
  +   cvrisk(m2D, folds = cv(model.weights(m2D), B = 2),
  +          grid = 1:5)
  +   
  +   ## test stabsel (use very small number of folds, B = 10, to speed up testing)
  +   print("run stabsel")
  +   stabsel(m, cutoff=0.8, PFER = 0.1*length(m$baselearner), sampling.type = "SS", eval = TRUE, B = 3)
  +   stabsel(m, cutoff=0.8, PFER = 0.1*length(m$baselearner), sampling.type = "SS", eval = TRUE, B = 3, 
  +           refitSmoothOffset = FALSE)
  +   
  +   ## FIXME: this stabsel() should also work with refitSmoothOffset = TRUE 
  +   stabsel(ml, cutoff=0.8, PFER = 0.1*length(ml$baselearner), sampling.type = "SS", eval = TRUE, B = 3, 
  +           refitSmoothOffset = FALSE)
  +   stabsel(ms, cutoff=0.8, PFER = 0.1*length(ms$baselearner), sampling.type = "SS", eval = TRUE, B = 3)
  +   ## FIXME: this is broken again 
  +   ## fixed in gamboostLSS package on github with commit 4989474 
  +   ##stabsel(mlss, cutoff=0.8, PFER = 0.1*length(mlss$mu$baselearner), sampling.type = "SS", eval = TRUE, B = 3)
  +   ##stabsel(mslss, cutoff=0.8, PFER = 0.1*length(mslss$mu$baselearner), sampling.type = "SS", eval = TRUE, B = 3)
  +   
  +   
  +   ## test predict with newdata
  +   print("predict with new data")
  +   pred <- predict(m, newdata = dat)
  +   ## for this predict() with newdata, you need a data.frame where the irregular time of y fits with X
  +   ## pred <- predict(ml, newdata = dat)
  +   pred <- predict(ms, newdata = dat)
  +   pred <- predict(ms_funint, newdata = dat)
  +   pred <- predict(mlss, newdata = dat)
  +   pred <- predict(mslss, newdata = dat)
  +   
  + }
  Loading required package: refund
  [1] "simulate data"
  [1] "model fit"
  Use a smooth offset.
  Use a smooth offset for irregular data.
  No smooth offsets over time are used, just global scalar offsets.
  No integration weights are used to compute the loss for the functional response.
  [1] "plot effects"
  [1] "run applyFolds"
  
   *** caught segfault ***
  address 0x110, cause 'invalid permissions'
  
  Traceback:
   1: La.svd(x, nu, nv)
   2: svd(crossprod(Rm, dmat) %*% Rm, nu = 0, nv = 0)
   3: doTryCatch(return(expr), name, parentenv, handler)
   4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
   5: tryCatchList(expr, classes, parentenv, handlers)
   6: tryCatch(expr, error = function(e) {    call <- conditionCall(e)    if (!is.null(call)) {        if (identical(call[[1L]], quote(doTryCatch)))             call <- sys.call(-4L)        dcall <- deparse(call, nlines = 1L)        prefix <- paste("Error in", dcall, ": ")        LONG <- 75L        sm <- strsplit(conditionMessage(e), "\n")[[1L]]        w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w")        if (is.na(w))             w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L],                 type = "b")        if (w > LONG)             prefix <- paste0(prefix, "\n  ")    }    else prefix <- "Error : "    msg <- paste0(prefix, conditionMessage(e), "\n")    .Internal(seterrmessage(msg[1L]))    if (!silent && isTRUE(getOption("show.error.messages"))) {        cat(msg, file = outFile)        .Internal(printDeferredWarnings())    }    invisible(structure(msg, class = "try-error", condition = e))})
   7: try(svd(crossprod(Rm, dmat) %*% Rm, nu = 0, nv = 0)$d)
   8: df2lambda(X, df = args$df, lambda = args$lambda, dmat = K, weights = w,     XtX = XtX)
   9: object$dpp(weights)
  10: dpp.blg(X[[i]], ...)
  11: FUN(X[[i]], ...)
  12: lapply(blg, dpp, weights = weights)
  13: mboost_fit(bl, response = response, weights = weights, offset = offset,     family = family, control = control, oobweights = oobweights,     ...)
  14: mboost(fm, data = data, weights = w, offset = offset, ...)
  15: FDboost(formula = Y ~ 1 + bhist(X1, svals, tvals, knots = 10,     df = 6) + bsignal(X1, svals, knots = 6, df = 3) + bbsc(xsmoo,     knots = 6, df = 3) + bolsc(xte1, df = 3) + brandomc(xte2,     df = 3), timeformula = ~bbs(tvals, knots = 9, df = 2, differences = 1),     control = list(mstop = 10, nu = 0.1, risk = "inbag", stopintern = FALSE,         center = TRUE, trace = FALSE), data = list(X1 = c(-0.384847598069494,     -0.384847598069494, 0.603457570969962, -1.96808631110356,     -1.96808631110356, -0.189932698342793, -0.189932698342793,     -0.189932698342793, 0.557581610120466, -0.154249399607682,     -0.154249399607682, 0.332466129802816, 0.123047695162448,     -0.0383916517215243, -0.0383916517215243, 0.849859353431247,     -0.214697738227997, 0.538106534543835, 0.538106534543835,     -0.140268672389776, -0.140268672389776, -0.140268672389776,     -0.280843035607172, 0.136658906977929, 0.293001205700839,     -0.364005355579847, -0.364005355579847, 0.626844910204011,     -2.02253814517902, -2.02253814517902, -0.221668429269483,     -0.221668429269483, -0.221668429269483, 0.413423575359256,     -0.170354795711955, -0.170354795711955, 0.330832670910263,     0.185472889578048, -0.100349589577168, -0.100349589577168,     0.586202821623406, -0.0889800192437509, 0.653264277542779,     0.653264277542779, -0.281149368193072, -0.281149368193072,     -0.281149368193072, -0.506875306725787, 0.00893115350829372,     0.433413248856604, -0.299911847283048, -0.299911847283048,     0.591040399542124, -2.03728943933567, -2.03728943933567,     -0.25168908200834, -0.25168908200834, -0.25168908200834,     0.268463874040808, -0.245205596947794, -0.245205596947794,     0.269042306464263, 0.281517461383424, -0.207946606163624,     -0.207946606163624, 0.327220823291036, -0.00902415023489331,     0.72741151838678, 0.72741151838678, -0.391130520868746, -0.391130520868746,     -0.391130520868746, -0.695883491872045, -0.0993761362653965,     0.552865673856919, -0.197221873068663, -0.197221873068663,     0.51067412221458, -2.0085939310699, -2.0085939310699, -0.267414721100944,     -0.267414721100944, -0.267414721100944, 0.124602737734846,     -0.344840537087251, -0.344840537087251, 0.182262819194796,     0.388907505266527, -0.334226151663159, -0.334226151663159,     0.065809816416806, 0.0330473341399409, 0.758762995626903,     0.758762995626903, -0.476310627195012, -0.476310627195012,     -0.476310627195012, -0.816192948737836, -0.189255214754068,     0.635018045511682, -0.0605902328262619, -0.0605902328262619,     0.400376161451656, -1.93270535787813, -1.93270535787813,     -0.256265411088875, -0.256265411088875, -0.256265411088875,     -0.0162596019889059, -0.435298349902374, -0.435298349902374,     0.10566199183184, 0.485369115915311, -0.452231676258042,     -0.452231676258042, -0.205133741016616, 0.0451118992221169,     0.745533447814213, 0.745533447814213, -0.542788183950084,     -0.542788183950084, -0.542788183950084, -0.836129035015052,     -0.261698334368647, 0.663529928630791, 0.105328268062007,     0.105328268062007, 0.274776599670803, -1.80587746073645,     -1.80587746073645, -0.20566122142162, -0.20566122142162,     -0.20566122142162, -0.152222911350884, -0.482617779934401,     -0.482617779934401, 0.0744075971751296, 0.54862839476823,     -0.535006639527867, -0.535006639527867, -0.492713384971121,     0.0350470093908835, 0.685937616847893, 0.685937616847893,     -0.596661686965056, -0.596661686965056, -0.596661686965056,     -0.724017123310692, -0.317697747652037, 0.622060896970574,     0.290219833300197, 0.290219833300197, 0.147668066739355,     -1.62794911056836, -1.62794911056836, -0.108078824817839,     -0.108078824817839, -0.108078824817839, -0.27911016511054,     -0.463933034611001, -0.463933034611001, 0.113436304172138,     0.56336646594535, -0.565276536367554, -0.565276536367554,     -0.797793749405959, 0.00973886356726013, 0.581639802337708,     0.581639802337708, -0.643053815327266, -0.643053815327266,     -0.643053815327266, -0.463549578031093, -0.358381680765995,     0.503488004311238, 0.461803617054604, 0.461803617054604,     0.0295923723812358, -1.41267592217516, -1.41267592217516,     0.0243764025478824, 0.0243764025478824, 0.0243764025478824,     -0.383906297540509, -0.399448647250702, -0.399448647250702,     0.207969721510986, 0.541262434321709, -0.563350549760239,     -0.563350549760239, -1.09702132207004, -0.0277742298364303,     0.447694783974752, 0.447694783974752, -0.68329932637682,     -0.68329932637682, -0.68329932637682, -0.0980702942608923,     -0.385406181751973, 0.336468683546918, 0.582469326521703,     0.582469326521703, -0.0696973582743918, -1.17718986494601,     -1.17718986494601, 0.174836945918126, 0.174836945918126,     0.174836945918126, -0.451452037429182, -0.319818484270389,     -0.319818484270389, 0.333594148996295, 0.500545410792889,     -0.558656077324669, -0.558656077324669, -1.36116700301838,     -0.0753875028169456, 0.30240601867331, 0.30240601867331,     -0.717813986123506, -0.717813986123506, -0.717813986123506,     0.314604717810693, -0.400555354024194, 0.158341079686501,     0.614606668897967, 0.614606668897967, -0.140448000098363,     -0.938622908270057, -0.938622908270057, 0.326435290535477,     0.326435290535477, 0.326435290535477, -0.466588113564947,     -0.255696412086949, -0.255696412086949, 0.465895886432688,     0.459444506254468, -0.580620516679591, -0.580620516679591,     -1.56100169230598, -0.130996187371043, 0.164076963347661,     0.164076963347661, -0.747013560577118, -0.747013560577118,     -0.747013560577118, 0.716659447994444, -0.405613300996884,     0.0064433377388709, 0.520605351379874, 0.520605351379874,     -0.172906427961514, -0.71410702153648, -0.71410702153648,     0.462303921642519, 0.462303921642519, 0.462303921642519,     -0.414155254736196, -0.237736297117268, -0.237736297117268,     0.580461233624785, 0.436188831602027, -0.658671265443753,     -0.658671265443753, -1.66729628998785, -0.192495515495482,     0.0510110749120877, 0.0510110749120877, -0.771313815747444,     -0.771313815747444, -0.771313815747444, 1.05027788610114,     -0.402364126084268, -0.0818863972870867, 0.281553630766928,     0.281553630766928, -0.162446521322024, -0.518455319915642,     -0.518455319915642, 0.568424240776332, 0.568424240776332,     0.568424240776332, -0.285694920804927, -0.286236945516756,     -0.286236945516756, 0.657728196644108, 0.443189542978461,     -0.809783845493681, -0.809783845493681, -1.66070150904415,     -0.257050319726896, -0.023723031684936, -0.023723031684936,     -0.791493373397162, -0.791493373397162, -0.791493373397162,     1.27019508962585, -0.392767048489316, -0.0817777222998014,     -0.0466660377292257, -0.0466660377292257, -0.124950177987446,     -0.357205501702722, -0.357205501702722, 0.642173314651988,     0.642173314651988, 0.642173314651988, -0.0995514959275789,     -0.380076922394916, -0.380076922394916, 0.697541606629777,     0.469585977515935, -1.00112627573702, -1.00112627573702,     -1.56138731415552, -0.31890383476143, -0.0679961093581712,     -0.0679961093581712, -0.809782278300482, -0.809782278300482,     -0.809782278300482, 1.38135038680079, -0.379481750569987,     -0.018231201876963, -0.389472649293914, -0.389472649293914,     -0.0814263003526759, -0.233576410974102, -0.233576410974102,     0.683777126279056, 0.683777126279056, 0.683777126279056,     0.119229904665798, -0.487779732599774, -0.487779732599774,     0.704598000987812, 0.49869951759393, -1.18741469933918, -1.18741469933918,     -1.39940348292775, -0.371568895835106, -0.0949137529881868,     -0.0949137529881868, -0.828773430984499, -0.828773430984499,     -0.828773430984499, 1.40123417354242, -0.365343030472985,     0.0712848574864238, -0.672285199112463, -0.672285199112463,     -0.052883790812609, -0.150786891806164, -0.150786891806164,     0.693461658667105, 0.693461658667105, 0.693461658667105,     0.345604165745155, -0.577868880979357, -0.577868880979357,     0.683593917124232, 0.513851545591929, -1.32336525946559,     -1.32336525946559, -1.20479979296663, -0.408558338183947,     -0.117581557455552, -0.117581557455552, -0.85105973197631,     -0.85105973197631, -0.85105973197631, 1.34733684576726, -0.353185686345016,     0.149302149295355, -0.820522682370196, -0.820522682370196,     -0.060331551762142, -0.112055788275289, -0.112055788275289,     0.671452894825704, 0.671452894825704, 0.671452894825704,     0.554526172080444, -0.618867872381691, -0.618867872381691,     0.639225892445056, 0.498363443889412, -1.36369409928168,     -1.36369409928168, -1.00762602187794, -0.423384997043975,     -0.149105117640836, -0.149105117640836, -0.87923408180301,     -0.87923408180301, -0.87923408180301, 1.23714879939178, -0.345844516332784,     0.178352367054826, -0.78188546657008, -0.78188546657008,     -0.117413180377791, -0.118287931194021, -0.118287931194021,     0.619289773102981, 0.619289773102981, 0.619289773102981,     0.72275114251554, -0.591395962605519, -0.591395962605519,     0.577171086888269, 0.439312005199013, -1.27685575343531,     -1.27685575343531, -0.831452632377742, -0.411738051607178,     -0.196950455033918, -0.196950455033918, -0.913733358074282,     -0.913733358074282, -0.913733358074282, 1.08768435590225,     -0.34501546529828, 0.135164801465576, -0.595913844115834,     -0.595913844115834, -0.207413772192455, -0.160850192880216,     -0.160850192880216, 0.54392300442427, 0.54392300442427, 0.54392300442427,     0.834454958490338, -0.525928980155063, -0.525928980155063,     0.507148615187443, 0.339253167685072, -1.0879320066386, -1.0879320066386,     -0.673143482921043, -0.378277190719291, -0.245338254648561,     -0.245338254648561, -0.946107688517591, -0.946107688517591,     -0.946107688517591, 0.913995541137479, -0.347700323782568,     0.0549887590352762, -0.325807238312839, -0.325807238312839,     -0.305797687202275, -0.228652346423871, -0.228652346423871,     0.453697441053248, 0.453697441053248, 0.453697441053248,     0.875725158362203, -0.465786439776897, -0.465786439776897,     0.439918850959048, 0.20473049394524, -0.836592542312432,     -0.836592542312432, -0.52268247156616, -0.329973020426625,     -0.272500907636831, -0.272500907636831, -0.965617861240613,     -0.965617861240613, -0.965617861240613, 0.730628868658872,     -0.349691608564007, -0.0118509545286885, -0.0347650954298771,     -0.0347650954298771, -0.388029277812632, -0.31060416253014,     -0.31060416253014, 0.356957936606738, 0.356957936606738,     0.356957936606738, 0.832649282343939, -0.454287868683601,     -0.454287868683601, 0.386242168830194, 0.0422875504475274,     -0.562507058036594, -0.562507058036594, -0.370053489693764,     -0.27379614901845, -0.256670799338597, -0.256670799338597,     -0.961524662129004, -0.961524662129004, -0.961524662129004,     0.552130851537197, -0.346781835247241, -0.015029518886746,     0.214013138264263, 0.214013138264263, -0.429572896428909,     -0.395615411904174, -0.395615411904174, 0.262049344701559,     0.262049344701559, 0.262049344701559, 0.691314870648353,     -0.534752794087752, -0.534752794087752, 0.356878943427988,     -0.14153209634005, -0.305345251390882, -0.305345251390882,     -0.205240428684528, -0.21671718478404, -0.176080315093724,     -0.176080315093724, -0.923088877068421, -0.923088877068421,     -0.923088877068421, 0.393048002843222, -0.334763519436913,     0.0957778863006762), Y = c(9.5949504015943, 9.5949504015943,     8.61344455788643, 6.5995732217885, 6.5995732217885, 8.37153474639064,     8.37153474639064, 8.37153474639064, 6.59810945113043, 5.5021172342669,     5.5021172342669, 7.16715430668448, 7.05265974090098, 10.6842351400083,     10.6842351400083, 6.12895958392685, 2.85285424265382, 4.92881798003667,     4.92881798003667, 3.35585090312442, 3.35585090312442, 3.35585090312442,     3.52099677581483, 2.85325970340929, 6.78370561080518, 13.0754009681391,     13.0754009681391, 12.2636673145085, 15.1732198241385, 15.1732198241385,     15.8501088543432, 15.8501088543432, 15.8501088543432, 12.0568635542716,     10.8306442154272, 10.8306442154272, 10.9457023799698, 9.94762338875895,     14.1531958548585, 14.1531958548585, 10.6798393615683, 6.47471387396918,     10.9575368985821, 10.9575368985821, 5.70781580813834, 5.70781580813834,     5.70781580813834, 4.14552223567563, 8.67109220241596, 12.5088868117415,     15.5336691247304, 15.5336691247304, 13.4087448808166, 11.7336220387193,     11.7336220387193, 16.8927864190794, 16.8927864190794, 16.8927864190794,     12.2510492122091, 12.0572260530758, 12.0572260530758, 14.2022238914053,     12.690608487368, 15.3258852663848, 15.3258852663848, 13.4008755243725,     10.4594497344414, 12.914543849625, 12.914543849625, 9.88498193334743,     9.88498193334743, 9.88498193334743, 5.97272915767439, 9.87863422209007,     14.3868056074568, 16.2138571453341, 16.2138571453341, 13.0189946660659,     12.9130850792063, 12.9130850792063, 17.2176030482912, 17.2176030482912,     17.2176030482912, 14.0827968209166, 12.2167115488798, 12.2167115488798,     17.142207804944, 10.5370324060672, 15.8440164489401, 15.8440164489401,     11.7857201634212, 11.5473783790476, 12.4639853312215, 12.4639853312215,     7.71397678149811, 7.71397678149811, 7.71397678149811, 6.27119084862376,     11.0070868369002, 13.1173831266096, 15.6857112228227, 15.6857112228227,     13.3174763424916, 13.8782617689466, 13.8782617689466, 15.9411864466316,     15.9411864466316, 15.9411864466316, 12.1837450064575, 11.2464004285451,     11.2464004285451, 15.5543065979242, 11.9472008960215, 15.3940778309177,     15.3940778309177, 11.5608504877255, 7.56271793781209, 13.8202120974261,     13.8202120974261, 8.36756104821634, 8.36756104821634, 8.36756104821634,     7.14891130025113, 10.2852210097186, 15.4954503577333, 13.3007822061282,     13.3007822061282, 13.3685797054909, 12.4648248247858, 12.4648248247858,     14.4134762226516, 14.4134762226516, 14.4134762226516, 12.3362871418548,     9.9775079522741, 9.9775079522741, 16.1789192891736, 11.0379769493391,     12.2359721657062, 12.2359721657062, 10.1033447415563, 6.70086606724926,     12.0260950770304, 12.0260950770304, 7.13303782295137, 7.13303782295137,     7.13303782295137, 4.53361355993138, 9.37739401116593, 12.2264570882414,     13.2263782253478, 13.2263782253478, 11.304604723962, 10.1436692509721,     10.1436692509721, 14.8433876374833, 14.8433876374833, 14.8433876374833,     9.68854589193723, 10.7193359853077, 10.7193359853077, 13.79670105834,     9.34549649516708, 11.7593506075689, 11.7593506075689, 10.0146285225385,     5.98354841565647, 10.0641104266191, 10.0641104266191, 7.08347955116493,     7.08347955116493, 7.08347955116493, 5.06497292747622, 7.93158133887571,     10.4928737398457, 12.6231014029796, 12.6231014029796, 12.2660703913135,     9.53407349697419, 9.53407349697419, 12.950542449956, 12.950542449956,     12.950542449956, 13.639950930242, 7.5453432986752, 7.5453432986752,     11.6487263985094, 11.2167525842424, 11.6883572193711, 11.6883572193711,     10.1574211659286, 4.22327149546088, 8.13238550373012, 8.13238550373012,     7.19294184376232, 7.19294184376232, 7.19294184376232, 2.89256458218739,     6.98506627476757, 10.8452243420862, 10.7626324325419, 10.7626324325419,     8.71930411190778, 9.92348029630378, 9.92348029630378, 10.2786393181843,     10.2786393181843, 10.2786393181843, 7.60808817060135, 5.75068803701575,     5.75068803701575, 9.6850469002331, 9.96605267231027, 10.2347254079565,     10.2347254079565, 8.53261180726428, 1.61627258156577, 6.28226961952663,     6.28226961952663, 6.98601401709901, 6.98601401709901, 6.98601401709901,     3.79468547731753, 8.7253912590341, 11.2632514281757, 12.0733653050541,     12.0733653050541, 8.65539939763193, 8.68813578910662, 8.68813578910662,     11.3318034168308, 11.3318034168308, 11.3318034168308, 7.5654466222814,     6.05680349085804, 6.05680349085804, 8.84200639263773, 7.86061923272567,     9.50197948632077, 9.50197948632077, 8.91920313633734, 4.47838893223576,     6.96724701463868, 6.96724701463868, 6.60813109794438, 6.60813109794438,     6.60813109794438, 3.32097605670191, 5.51657370220289, 7.57714670085009,     10.2919101071996, 10.2919101071996, 7.83417807358798, 6.50406097378059,     6.50406097378059, 10.7551234012543, 10.7551234012543, 10.7551234012543,     5.59004322730142, 3.75673238973066, 3.75673238973066, 6.95810829248155,     6.58396020389178, 8.01100911337153, 8.01100911337153, 7.49844877523399,     4.60469981209194, 7.567943638852, 7.567943638852, 7.09170078734533,     7.09170078734533, 7.09170078734533, 5.41128254036811, 7.16131206171303,     8.03621417285636, 11.1617728575079, 11.1617728575079, 8.54482845379778,     5.97903974089772, 5.97903974089772, 9.30929565638687, 9.30929565638687,     9.30929565638687, 4.09387511704214, 7.39040833034233, 7.39040833034233,     7.32679691977306, 7.22478815768494, 8.58792106949346, 8.58792106949346,     8.80620184590264, 0.999970737259481, 6.78052586063727, 6.78052586063727,     5.66949499134051, 5.66949499134051, 5.66949499134051, 4.51544438076207,     5.63555084818458, 6.39540917919449, 11.54879494807, 11.54879494807,     7.48024784386413, 7.49439869475747, 7.49439869475747, 9.62103542354552,     9.62103542354552, 9.62103542354552, 5.05697313056137, 4.73097851833431,     4.73097851833431, 6.55734603817935, 7.18980211173506, 9.986015148312,     9.986015148312, 8.89847970608806, 1.83250102860073, 6.42765345915411,     6.42765345915411, 8.31384625637494, 8.31384625637494, 8.31384625637494,     5.97319128123771, 8.0793989306894, 8.15419116971303, 10.0828102832128,     10.0828102832128, 7.3863866946528, 4.4894533496343, 4.4894533496343,     6.46804916892808, 6.46804916892808, 6.46804916892808, 0.477967551149892,     1.76330460175524, 1.76330460175524, 5.75925479744874, 6.762472326976,     8.90439416413036, 8.90439416413036, 8.05707967792883, 0.566090143611434,     5.40231603690707, 5.40231603690707, 4.59084138420101, 4.59084138420101,     4.59084138420101, 3.71100455441436, 6.48322177433504, 6.29591264710364,     9.40342027067766, 9.40342027067766, 7.43804652343618, 3.46170545338917,     3.46170545338917, 5.90233380203771, 5.90233380203771, 5.90233380203771,     3.36892580779415, 3.16549015989961, 3.16549015989961, 4.89875721828134,     8.79738970641577, 6.66011122497792, 6.66011122497792, 8.3682113031237,     1.83845724944196, 5.36394046490261, 5.36394046490261, 6.06503797654488,     6.06503797654488, 6.06503797654488, 3.89593098363015, 5.74118116617385,     8.3775768960541, 9.72376812684263, 9.72376812684263, 6.3623837161092,     7.13830559080834, 7.13830559080834, 8.01653692837935, 8.01653692837935,     8.01653692837935, 2.47464082047802, 2.4816905595452, 2.4816905595452,     4.94294014675545, 7.0948740282431, 8.05061777798787, 8.05061777798787,     7.84665054007237, 1.954497372299, 5.6941676440096, 5.6941676440096,     5.06848066624312, 5.06848066624312, 5.06848066624312, 5.77031742492159,     5.80549299953768, 7.82477868449231, 9.60023546544402, 9.60023546544402,     8.03187944630361, 8.34570835713978, 8.34570835713978, 7.65553056804936,     7.65553056804936, 7.65553056804936, 1.90713340695206, 2.03566597767679,     2.03566597767679, 6.85877752189216, 5.75638061145435, 7.30773204012457,     7.30773204012457, 7.66103811843421, 0.791339200184756, 4.32089363410653,     4.32089363410653, 5.67521505558472, 5.67521505558472, 5.67521505558472,     4.61366142043961, 8.17991694241109, 6.62089762361192, 10.0042063607192,     10.0042063607192, 7.28875884533376, 6.82516650969599, 6.82516650969599,     9.14163049119645, 9.14163049119645, 9.14163049119645, 2.78739028667702,     0.992559502611712, 0.992559502611712, 7.02528428024291, 5.25441771697918,     7.212292386562, 7.212292386562, 7.19522656917909, 1.4077893801522,     5.23248875476627, 5.23248875476627, 6.3246497157767, 6.3246497157767,     6.3246497157767, 5.42667518799236, 5.89774305719458, 6.83990747539866,     10.5624076792504, 10.5624076792504, 9.02287370280385, 9.00000710027316,     9.00000710027316, 8.29312057943188, 8.29312057943188, 8.29312057943188,     1.18819818278275, 1.79768434077991, 1.79768434077991, 10.4339939283081,     7.41084428356965, 6.20371033061321, 6.20371033061321, 9.90794792411486,     2.10484018080433, 6.82629213090569, 6.82629213090569, 3.7180501355292,     3.7180501355292, 3.7180501355292, 4.87396125903024, 3.85357053927014,     8.05917985471927), integration_weights = c(1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), xsmoo = c(0.557721586591504,     0.557721586591504, -0.0417697968384276, -1.07978489717087,     -1.07978489717087, -0.0704813379155723, -0.0704813379155723,     -0.0704813379155723, 0.734238068587715, -0.939335378954645,     -0.939335378954645, -0.668668653057256, -0.95554000099689,     1.29865785117607, 1.29865785117607, -0.331576476827406, -0.290247668111241,     -0.268630239085725, -0.268630239085725, -0.679850675855534,     -0.679850675855534, -0.679850675855534, -0.556677222282395,     -0.518569840883196, 0.389513221181857), xte1 = c(-1.35404768117909,     -1.35404768117909, -2.01530438871807, 0.592790929152534,     0.592790929152534, -0.0640761212458992, -0.0640761212458992,     -0.0640761212458992, 1.66967841532004, -0.967266027908846,     -0.967266027908846, -0.829341365126664, -0.0770599273382019,     -0.132711538630847, -0.132711538630847, -1.01347414154902,     -0.980085379933654, -0.100268039262386, -0.100268039262386,     -0.397138397437131, -0.397138397437131, -0.397138397437131,     0.0998999307605635, -0.166277230051912, -0.435807645806459    ), xte2 = c(0.165208465776849, 0.165208465776849, 0.46315273045661,     1.06993012661437, 1.06993012661437, -0.156651842902546, -0.156651842902546,     -0.156651842902546, 0.156569007297343, -0.551799774632661,     -0.551799774632661, -0.281543982899657, 1.48072466486686,     1.05404603663137, 1.05404603663137, -0.936917694826534, -0.910985596559708,     -0.949702949591695, -0.949702949591695, -0.615308105970782,     -0.615308105970782, -0.615308105970782, 1.60927596055172,     0.956450973560131, 0.387620826324863), svals = c(0, 0.05,     0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6,     0.65, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1), tvals = c(0, 0.0555555555555556,     0.111111111111111, 0.166666666666667, 0.222222222222222,     0.277777777777778, 0.333333333333333, 0.388888888888889,     0.444444444444444, 0.5, 0.555555555555556, 0.611111111111111,     0.666666666666667, 0.722222222222222, 0.777777777777778,     0.833333333333333, 0.888888888888889, 0.944444444444444,     1), object_id = NULL))
  16: eval(call)
  17: eval(call)
  18: withCallingHandlers(expr, message = function(c) if (inherits(c,     classes)) tryInvokeRestart("muffleMessage"))
  19: suppressMessages(eval(call))
  20: withCallingHandlers(suppressMessages(eval(call)), warning = h)
  21: fitfct(weights = weights, oobweights = oobweights)
  22: dummyfct(weights = folds[, i], oobweights = OOBweights[, i])
  23: doTryCatch(return(expr), name, parentenv, handler)
  24: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  25: tryCatchList(expr, classes, parentenv, handlers)
  26: tryCatch(expr, error = function(e) {    call <- conditionCall(e)    if (!is.null(call)) {        if (identical(call[[1L]], quote(doTryCatch)))             call <- sys.call(-4L)        dcall <- deparse(call, nlines = 1L)        prefix <- paste("Error in", dcall, ": ")        LONG <- 75L        sm <- strsplit(conditionMessage(e), "\n")[[1L]]        w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w")        if (is.na(w))             w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L],                 type = "b")        if (w > LONG)             prefix <- paste0(prefix, "\n  ")    }    else prefix <- "Error : "    msg <- paste0(prefix, conditionMessage(e), "\n")    .Internal(seterrmessage(msg[1L]))    if (!silent && isTRUE(getOption("show.error.messages"))) {        cat(msg, file = outFile)        .Internal(printDeferredWarnings())    }    invisible(structure(msg, class = "try-error", condition = e))})
  27: try(dummyfct(weights = folds[, i], oobweights = OOBweights[,     i]), silent = TRUE)
  28: FUN(X[[i]], ...)
  29: eval(expr, env)
  30: doTryCatch(return(expr), name, parentenv, handler)
  31: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  32: tryCatchList(expr, classes, parentenv, handlers)
  33: tryCatch(expr, error = function(e) {    call <- conditionCall(e)    if (!is.null(call)) {        if (identical(call[[1L]], quote(doTryCatch)))             call <- sys.call(-4L)        dcall <- deparse(call, nlines = 1L)        prefix <- paste("Error in", dcall, ": ")        LONG <- 75L        sm <- strsplit(conditionMessage(e), "\n")[[1L]]        w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w")        if (is.na(w))             w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L],                 type = "b")        if (w > LONG)             prefix <- paste0(prefix, "\n  ")    }    else prefix <- "Error : "    msg <- paste0(prefix, conditionMessage(e), "\n")    .Internal(seterrmessage(msg[1L]))    if (!silent && isTRUE(getOption("show.error.messages"))) {        cat(msg, file = outFile)        .Internal(printDeferredWarnings())    }    invisible(structure(msg, class = "try-error", condition = e))})
  34: try(eval(expr, env), silent = TRUE)
  35: serialize(what, NULL, xdr = FALSE)
  36: sendMaster(try(eval(expr, env), silent = TRUE), FALSE)
  37: mcparallel(FUN(X[[i]], ...), name = names(X)[i], mc.set.seed = mc.set.seed,     silent = mc.silent)
  38: FUN(X[[i]], ...)
  39: lapply(seq_along(X), function(i) mcparallel(FUN(X[[i]], ...),     name = names(X)[i], mc.set.seed = mc.set.seed, silent = mc.silent))
  40: papply(1:ncol(folds), function(i) try(dummyfct(weights = folds[,     i], oobweights = OOBweights[, i]), silent = TRUE), mc.preschedule = mc.preschedule,     ...)
  41: applyFolds(m, folds = cv(rep(1, length(unique(m$id))), B = 2),     grid = 0:5)
  An irrecoverable exception occurred. R is aborting now ...
  
   *** caught segfault ***
  address 0x110, cause 'invalid permissions'
  
  Traceback:
   1: La.svd(x, nu, nv)
   2: svd(crossprod(Rm, dmat) %*% Rm, nu = 0, nv = 0)
   3: doTryCatch(return(expr), name, parentenv, handler)
   4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
   5: tryCatchList(expr, classes, parentenv, handlers)
   6: tryCatch(expr, error = function(e) {    call <- conditionCall(e)    if (!is.null(call)) {        if (identical(call[[1L]], quote(doTryCatch)))             call <- sys.call(-4L)        dcall <- deparse(call, nlines = 1L)        prefix <- paste("Error in", dcall, ": ")        LONG <- 75L        sm <- strsplit(conditionMessage(e), "\n")[[1L]]        w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w")        if (is.na(w))             w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L],                 type = "b")        if (w > LONG)             prefix <- paste0(prefix, "\n  ")    }    else prefix <- "Error : "    msg <- paste0(prefix, conditionMessage(e), "\n")    .Internal(seterrmessage(msg[1L]))    if (!silent && isTRUE(getOption("show.error.messages"))) {        cat(msg, file = outFile)        .Internal(printDeferredWarnings())    }    invisible(structure(msg, class = "try-error", condition = e))})
   7: try(svd(crossprod(Rm, dmat) %*% Rm, nu = 0, nv = 0)$d)
   8: df2lambda(X, df = args$df, lambda = args$lambda, dmat = K, weights = w,     XtX = XtX)
   9: object$dpp(weights)
  10: dpp.blg(X[[i]], ...)
  11: FUN(X[[i]], ...)
  12: lapply(blg, dpp, weights = weights)
  13: mboost_fit(bl, response = response, weights = weights, offset = offset,     family = family, control = control, oobweights = oobweights,     ...)
  14: mboost(fm, data = data, weights = w, offset = offset, ...)
  15: FDboost(formula = Y ~ 1 + bhist(X1, svals, tvals, knots = 10,     df = 6) + bsignal(X1, svals, knots = 6, df = 3) + bbsc(xsmoo,     knots = 6, df = 3) + bolsc(xte1, df = 3) + brandomc(xte2,     df = 3), timeformula = ~bbs(tvals, knots = 9, df = 2, differences = 1),     control = list(mstop = 10, nu = 0.1, risk = "inbag", stopintern = FALSE,         center = TRUE, trace = FALSE), data = list(X1 = c(0.199640973727573,     -0.384847598069494, 0.603457570969962, -1.96808631110356,     0.557581610120466, 0.557581610120466, 0.557581610120466,     -0.154249399607682, -0.154249399607682, 0.332466129802816,     0.123047695162448, 0.123047695162448, -0.217719731066488,     0.849859353431247, 0.37815504640687, 0.391825789806197, -0.140268672389776,     0.136658906977929, 1.12946412406419, 0.293001205700839, 0.293001205700839,     0.293001205700839, -0.19364526360259, -0.19364526360259,     -0.19364526360259, 0.217694367220776, -0.364005355579847,     0.626844910204011, -2.02253814517902, 0.413423575359256,     0.413423575359256, 0.413423575359256, -0.170354795711955,     -0.170354795711955, 0.330832670910263, 0.185472889578048,     0.185472889578048, -0.16982220760792, 0.586202821623406,     0.630368916998298, 0.505431647023438, -0.281149368193072,     0.00893115350829372, 0.978799630104496, 0.433413248856604,     0.433413248856604, 0.433413248856604, -0.127475767804235,     -0.127475767804235, -0.127475767804235, 0.224106255678285,     -0.299911847283048, 0.591040399542124, -2.03728943933567,     0.268463874040808, 0.268463874040808, 0.268463874040808,     -0.245205596947794, -0.245205596947794, 0.269042306464263,     0.281517461383424, 0.281517461383424, -0.0925716796413003,     0.327220823291036, 0.817657115108218, 0.621886544966024,     -0.391130520868746, -0.0993761362653965, 0.669037764280157,     0.552865673856919, 0.552865673856919, 0.552865673856919,     -0.0446185656474048, -0.0446185656474048, -0.0446185656474048,     0.222742107520426, -0.197221873068663, 0.51067412221458,     -2.0085939310699, 0.124602737734846, 0.124602737734846, 0.124602737734846,     -0.344840537087251, -0.344840537087251, 0.182262819194796,     0.388907505266527, 0.388907505266527, -0.00642091136680807,     0.065809816416806, 0.947335182212486, 0.720903684152149,     -0.476310627195012, -0.189255214754068, 0.284002182240537,     0.635018045511682, 0.635018045511682, 0.635018045511682,     0.034589193078106, 0.034589193078106, 0.034589193078106,     0.217467391167522, -0.0605902328262619, 0.400376161451656,     -1.93270535787813, -0.0162596019889059, -0.0162596019889059,     -0.0162596019889059, -0.435298349902374, -0.435298349902374,     0.10566199183184, 0.485369115915311, 0.485369115915311, 0.0681773330153766,     -0.205133741016616, 1.02671865978696, 0.782196265100007,     -0.542788183950084, -0.261698334368647, -0.0924834603650032,     0.663529928630791, 0.663529928630791, 0.663529928630791,     0.0898103585825025, 0.0898103585825025, 0.0898103585825025,     0.212147574417041, 0.105328268062007, 0.274776599670803,     -1.80587746073645, -0.152222911350884, -0.152222911350884,     -0.152222911350884, -0.482617779934401, -0.482617779934401,     0.0744075971751296, 0.54862839476823, 0.54862839476823, 0.110770295514791,     -0.492713384971121, 1.0631230891105, 0.785477495473482, -0.596661686965056,     -0.317697747652037, -0.3765955306521, 0.622060896970574,     0.622060896970574, 0.622060896970574, 0.100707790353203,     0.100707790353203, 0.100707790353203, 0.210006397181869,     0.290219833300197, 0.147668066739355, -1.62794911056836,     -0.27911016511054, -0.27911016511054, -0.27911016511054,     -0.463933034611001, -0.463933034611001, 0.113436304172138,     0.56336646594535, 0.56336646594535, 0.107303070322784, -0.797793749405959,     1.06366105186762, 0.717822768416191, -0.643053815327266,     -0.358381680765995, -0.507965104099654, 0.503488004311238,     0.503488004311238, 0.503488004311238, 0.0565026320429591,     0.0565026320429591, 0.0565026320429591, 0.211776542498308,     0.461803617054604, 0.0295923723812358, -1.41267592217516,     -0.383906297540509, -0.383906297540509, -0.383906297540509,     -0.399448647250702, -0.399448647250702, 0.207969721510986,     0.541262434321709, 0.541262434321709, 0.0685559100457084,     -1.09702132207004, 1.03465728195675, 0.594885980837348, -0.68329932637682,     -0.385406181751973, -0.51726965445053, 0.336468683546918,     0.336468683546918, 0.336468683546918, -0.0164806613535061,     -0.0164806613535061, -0.0164806613535061, 0.217586335703197,     0.582469326521703, -0.0696973582743918, -1.17718986494601,     -0.451452037429182, -0.451452037429182, -0.451452037429182,     -0.319818484270389, -0.319818484270389, 0.333594148996295,     0.500545410792889, 0.500545410792889, 0.011334348906925,     -1.36116700301838, 0.982245372768813, 0.439254487871121,     -0.717813986123506, -0.400555354024194, -0.457275509506343,     0.158341079686501, 0.158341079686501, 0.158341079686501,     -0.0829159648692789, -0.0829159648692789, -0.0829159648692789,     0.227564102133378, 0.614606668897967, -0.140448000098363,     -0.938622908270057, -0.466588113564947, -0.466588113564947,     -0.466588113564947, -0.255696412086949, -0.255696412086949,     0.465895886432688, 0.459444506254468, 0.459444506254468,     -0.0475560788702043, -1.56100169230598, 0.91255891769474,     0.273515644651681, -0.747013560577118, -0.405613300996884,     -0.380748997068704, 0.0064433377388709, 0.0064433377388709,     0.0064433377388709, -0.107477153537445, -0.107477153537445,     -0.107477153537445, 0.241838167125691, 0.520605351379874,     -0.172906427961514, -0.71410702153648, -0.414155254736196,     -0.414155254736196, -0.414155254736196, -0.237736297117268,     -0.237736297117268, 0.580461233624785, 0.436188831602027,     0.436188831602027, -0.0913098390623179, -1.66729628998785,     0.831731510125466, 0.120256806313194, -0.771313815747444,     -0.402364126084268, -0.340456444939229, -0.0818863972870867,     -0.0818863972870867, -0.0818863972870867, -0.0548381023910894,     -0.0548381023910894, -0.0548381023910894, 0.259535707253001,     0.281553630766928, -0.162446521322024, -0.518455319915642,     -0.285694920804927, -0.285694920804927, -0.285694920804927,     -0.286236945516756, -0.286236945516756, 0.657728196644108,     0.443189542978461, 0.443189542978461, -0.105303591662021,     -1.66070150904415, 0.744703153177915, -0.000410747507274004,     -0.791493373397162, -0.392767048489316, -0.374876795249006,     -0.0817777222998014, -0.0817777222998014, -0.0817777222998014,     0.0971388633246156, 0.0971388633246156, 0.0971388633246156,     0.275779304032275, -0.0466660377292257, -0.124950177987446,     -0.357205501702722, -0.0995514959275789, -0.0995514959275789,     -0.0995514959275789, -0.380076922394916, -0.380076922394916,     0.697541606629777, 0.469585977515935, 0.469585977515935,     -0.0836427735257899, -1.56138731415552, 0.65163948887297,     -0.0782800391610845, -0.809782278300482, -0.379481750569987,     -0.465339447447027, -0.018231201876963, -0.018231201876963,     -0.018231201876963, 0.317837617516151, 0.317837617516151,     0.317837617516151, 0.284690390216506, -0.389472649293914,     -0.0814263003526759, -0.233576410974102, 0.119229904665798,     0.119229904665798, 0.119229904665798, -0.487779732599774,     -0.487779732599774, 0.704598000987812, 0.49869951759393,     0.49869951759393, -0.0226150157260674, -1.39940348292775,     0.551512568957501, -0.105620166496703, -0.828773430984499,     -0.365343030472985, -0.578886415311756, 0.0712848574864238,     0.0712848574864238, 0.0712848574864238, 0.56345358387791,     0.56345358387791, 0.56345358387791, 0.280390398558684, -0.672285199112463,     -0.052883790812609, -0.150786891806164, 0.345604165745155,     0.345604165745155, 0.345604165745155, -0.577868880979357,     -0.577868880979357, 0.683593917124232, 0.513851545591929,     0.513851545591929, 0.0814920506647037, -1.20479979296663,     0.44329444517838, -0.0747002273625947, -0.85105973197631,     -0.353185686345016, -0.682559712621663, 0.149302149295355,     0.149302149295355, 0.149302149295355, 0.79018218610429, 0.79018218610429,     0.79018218610429, 0.257000761811802, -0.820522682370196,     -0.060331551762142, -0.112055788275289, 0.554526172080444,     0.554526172080444, 0.554526172080444, -0.618867872381691,     -0.618867872381691, 0.639225892445056, 0.498363443889412,     0.498363443889412, 0.23239079457408, -1.00762602187794, 0.32595716928248,     0.0222106803927737, -0.87923408180301, -0.345844516332784,     -0.743401353155211, 0.178352367054826, 0.178352367054826,     0.178352367054826, 0.954218847889683, 0.954218847889683,     0.954218847889683, 0.212122376893646, -0.78188546657008,     -0.117413180377791, -0.118287931194021, 0.72275114251554,     0.72275114251554, 0.72275114251554, -0.591395962605519, -0.591395962605519,     0.577171086888269, 0.439312005199013, 0.439312005199013,     0.428043978832253, -0.831452632377742, 0.201375259792516,     0.185348257151348, -0.913733358074282, -0.34501546529828,     -0.737214775289477, 0.135164801465576, 0.135164801465576,     0.135164801465576, 1.02163207538671, 1.02163207538671, 1.02163207538671,     0.157697884266074, -0.595913844115834, -0.207413772192455,     -0.160850192880216, 0.834454958490338, 0.834454958490338,     0.834454958490338, -0.525928980155063, -0.525928980155063,     0.507148615187443, 0.339253167685072, 0.339253167685072,     0.642715494195319, -0.673143482921043, 0.0833866963197074,     0.384054290755842, -0.946107688517591, -0.347700323782568,     -0.675916479276217, 0.0549887590352762, 0.0549887590352762,     0.0549887590352762, 0.999185496151431, 0.999185496151431,     0.999185496151431, 0.109364539649327, -0.325807238312839,     -0.305797687202275, -0.228652346423871, 0.875725158362203,     0.875725158362203, 0.875725158362203, -0.465786439776897,     -0.465786439776897, 0.439918850959048, 0.20473049394524,     0.20473049394524, 0.844564101028333, -0.52268247156616, -0.0110886020279839,     0.579711904866484, -0.965617861240613, -0.349691608564007,     -0.580726148694876, -0.0118509545286885, -0.0118509545286885,     -0.0118509545286885, 0.904126317788411, 0.904126317788411,     0.904126317788411, 0.0827596023496185, -0.0347650954298771,     -0.388029277812632, -0.31060416253014, 0.832649282343939,     0.832649282343939, 0.832649282343939, -0.454287868683601,     -0.454287868683601, 0.386242168830194, 0.0422875504475274,     0.0422875504475274, 1.00174855377075, -0.370053489693764,     -0.0651307131512832, 0.733704215418873, -0.961524662129004,     -0.346781835247241, -0.472863476154512, -0.015029518886746,     -0.015029518886746, -0.015029518886746, 0.753701758077495,     0.753701758077495, 0.753701758077495, 0.0935203316731605,     0.214013138264263, -0.429572896428909, -0.395615411904174,     0.691314870648353, 0.691314870648353, 0.691314870648353,     -0.534752794087752, -0.534752794087752, 0.356878943427988,     -0.14153209634005, -0.14153209634005, 1.08242760686202, -0.205240428684528,     -0.0618197149509155, 0.807414338348605, -0.923088877068421,     -0.334763519436913, -0.373548154264182, 0.0957778863006762,     0.0957778863006762, 0.0957778863006762, 0.565159034798533,     0.565159034798533, 0.565159034798533), Y = c(8.82456753860025,     9.5949504015943, 8.61344455788643, 6.5995732217885, 6.59810945113043,     6.59810945113043, 6.59810945113043, 5.5021172342669, 5.5021172342669,     7.16715430668448, 7.05265974090098, 7.05265974090098, 4.01503319197187,     6.12895958392685, 3.58091748991845, 5.79400662574134, 3.35585090312442,     2.85325970340929, 10.7343553442376, 6.78370561080518, 6.78370561080518,     6.78370561080518, 5.94305863613687, 5.94305863613687, 5.94305863613687,     13.5545711556762, 13.0754009681391, 12.2636673145085, 15.1732198241385,     12.0568635542716, 12.0568635542716, 12.0568635542716, 10.8306442154272,     10.8306442154272, 10.9457023799698, 9.94762338875895, 9.94762338875895,     9.42316575476823, 10.6798393615683, 9.58069334222349, 10.5963555389887,     5.70781580813834, 8.67109220241596, 12.2132176225263, 12.5088868117415,     12.5088868117415, 12.5088868117415, 12.0516200882576, 12.0516200882576,     12.0516200882576, 17.5395326334336, 15.5336691247304, 13.4087448808166,     11.7336220387193, 12.2510492122091, 12.2510492122091, 12.2510492122091,     12.0572260530758, 12.0572260530758, 14.2022238914053, 12.690608487368,     12.690608487368, 11.6880623255263, 13.4008755243725, 9.5225318766676,     13.305166846488, 9.88498193334743, 9.87863422209007, 17.2763790445925,     14.3868056074568, 14.3868056074568, 14.3868056074568, 11.403524741816,     11.403524741816, 11.403524741816, 18.1932401640931, 16.2138571453341,     13.0189946660659, 12.9130850792063, 14.0827968209166, 14.0827968209166,     14.0827968209166, 12.2167115488798, 12.2167115488798, 17.142207804944,     10.5370324060672, 10.5370324060672, 11.2066565078971, 11.7857201634212,     9.83306648378105, 12.3460755561868, 7.71397678149811, 11.0070868369002,     16.0175195978576, 13.1173831266096, 13.1173831266096, 13.1173831266096,     12.5611218320111, 12.5611218320111, 12.5611218320111, 17.2468097559859,     15.6857112228227, 13.3174763424916, 13.8782617689466, 12.1837450064575,     12.1837450064575, 12.1837450064575, 11.2464004285451, 11.2464004285451,     15.5543065979242, 11.9472008960215, 11.9472008960215, 11.0222913750786,     11.5608504877255, 10.8565449344972, 10.8416334703273, 8.36756104821634,     10.2852210097186, 14.0241575691354, 15.4954503577333, 15.4954503577333,     15.4954503577333, 11.2230381846268, 11.2230381846268, 11.2230381846268,     13.8486212495707, 13.3007822061282, 13.3685797054909, 12.4648248247858,     12.3362871418548, 12.3362871418548, 12.3362871418548, 9.9775079522741,     9.9775079522741, 16.1789192891736, 11.0379769493391, 11.0379769493391,     10.104709368746, 10.1033447415563, 8.46459286595314, 11.4654956444611,     7.13303782295137, 9.37739401116593, 12.7558801413814, 12.2264570882414,     12.2264570882414, 12.2264570882414, 12.9663518172835, 12.9663518172835,     12.9663518172835, 14.9036382211475, 13.2263782253478, 11.304604723962,     10.1436692509721, 9.68854589193723, 9.68854589193723, 9.68854589193723,     10.7193359853077, 10.7193359853077, 13.79670105834, 9.34549649516708,     9.34549649516708, 9.99745267522507, 10.0146285225385, 9.54455573139759,     10.7919020106954, 7.08347955116493, 7.93158133887571, 13.9791315798889,     10.4928737398457, 10.4928737398457, 10.4928737398457, 10.242959089342,     10.242959089342, 10.242959089342, 13.3950318227705, 12.6231014029796,     12.2660703913135, 9.53407349697419, 13.639950930242, 13.639950930242,     13.639950930242, 7.5453432986752, 7.5453432986752, 11.6487263985094,     11.2167525842424, 11.2167525842424, 6.37094812310956, 10.1574211659286,     7.44413993069254, 10.3368997469556, 7.19294184376232, 6.98506627476757,     12.7303312034815, 10.8452243420862, 10.8452243420862, 10.8452243420862,     9.97375016583646, 9.97375016583646, 9.97375016583646, 15.2345204224968,     10.7626324325419, 8.71930411190778, 9.92348029630378, 7.60808817060135,     7.60808817060135, 7.60808817060135, 5.75068803701575, 5.75068803701575,     9.6850469002331, 9.96605267231027, 9.96605267231027, 7.15870993086623,     8.53261180726428, 8.59965522875987, 9.5988350450659, 6.98601401709901,     8.7253912590341, 10.0476054442858, 11.2632514281757, 11.2632514281757,     11.2632514281757, 7.6664428089999, 7.6664428089999, 7.6664428089999,     9.31851417829976, 12.0733653050541, 8.65539939763193, 8.68813578910662,     7.5654466222814, 7.5654466222814, 7.5654466222814, 6.05680349085804,     6.05680349085804, 8.84200639263773, 7.86061923272567, 7.86061923272567,     8.2058625410126, 8.91920313633734, 6.36383195664509, 9.4083738341913,     6.60813109794438, 5.51657370220289, 9.26937156407052, 7.57714670085009,     7.57714670085009, 7.57714670085009, 7.83181035871939, 7.83181035871939,     7.83181035871939, 9.56887272345038, 10.2919101071996, 7.83417807358798,     6.50406097378059, 5.59004322730142, 5.59004322730142, 5.59004322730142,     3.75673238973066, 3.75673238973066, 6.95810829248155, 6.58396020389178,     6.58396020389178, 3.85198378716585, 7.49844877523399, 6.26542919406394,     6.33477061300236, 7.09170078734533, 7.16131206171303, 13.4780800784935,     8.03621417285636, 8.03621417285636, 8.03621417285636, 6.50101049720017,     6.50101049720017, 6.50101049720017, 10.7280571005898, 11.1617728575079,     8.54482845379778, 5.97903974089772, 4.09387511704214, 4.09387511704214,     4.09387511704214, 7.39040833034233, 7.39040833034233, 7.32679691977306,     7.22478815768494, 7.22478815768494, 3.3814444692434, 8.80620184590264,     8.66162017289597, 8.1028148572908, 5.66949499134051, 5.63555084818458,     7.96322259570954, 6.39540917919449, 6.39540917919449, 6.39540917919449,     7.03530009555109, 7.03530009555109, 7.03530009555109, 8.37034108131976,     11.54879494807, 7.48024784386413, 7.49439869475747, 5.05697313056137,     5.05697313056137, 5.05697313056137, 4.73097851833431, 4.73097851833431,     6.55734603817935, 7.18980211173506, 7.18980211173506, 3.14926009263069,     8.89847970608806, 6.25587236187813, 7.92673265529014, 8.31384625637494,     8.0793989306894, 10.8969507162214, 8.15419116971303, 8.15419116971303,     8.15419116971303, 4.8828998942077, 4.8828998942077, 4.8828998942077,     9.15942791953567, 10.0828102832128, 7.3863866946528, 4.4894533496343,     0.477967551149892, 0.477967551149892, 0.477967551149892,     1.76330460175524, 1.76330460175524, 5.75925479744874, 6.762472326976,     6.762472326976, 2.64590720664884, 8.05707967792883, 5.53636058958423,     7.7347398782817, 4.59084138420101, 6.48322177433504, 8.82138677885528,     6.29591264710364, 6.29591264710364, 6.29591264710364, 5.67738343931805,     5.67738343931805, 5.67738343931805, 10.467532252557, 9.40342027067766,     7.43804652343618, 3.46170545338917, 3.36892580779415, 3.36892580779415,     3.36892580779415, 3.16549015989961, 3.16549015989961, 4.89875721828134,     8.79738970641577, 8.79738970641577, 4.54905917385409, 8.3682113031237,     7.00387083717841, 6.40499140284482, 6.06503797654488, 5.74118116617385,     11.4146630653524, 8.3775768960541, 8.3775768960541, 8.3775768960541,     4.92585437972765, 4.92585437972765, 4.92585437972765, 7.83669946308725,     9.72376812684263, 6.3623837161092, 7.13830559080834, 2.47464082047802,     2.47464082047802, 2.47464082047802, 2.4816905595452, 2.4816905595452,     4.94294014675545, 7.0948740282431, 7.0948740282431, 2.42176754154356,     7.84665054007237, 4.91912849206508, 6.57555374128694, 5.06848066624312,     5.80549299953768, 10.721215333142, 7.82477868449231, 7.82477868449231,     7.82477868449231, 8.41786678197192, 8.41786678197192, 8.41786678197192,     8.70183650721128, 9.60023546544402, 8.03187944630361, 8.34570835713978,     1.90713340695206, 1.90713340695206, 1.90713340695206, 2.03566597767679,     2.03566597767679, 6.85877752189216, 5.75638061145435, 5.75638061145435,     2.84472072948857, 7.66103811843421, 7.03343514198511, 8.18528547092463,     5.67521505558472, 8.17991694241109, 9.23153827203707, 6.62089762361192,     6.62089762361192, 6.62089762361192, 5.89145375052233, 5.89145375052233,     5.89145375052233, 10.2004262317358, 10.0042063607192, 7.28875884533376,     6.82516650969599, 2.78739028667702, 2.78739028667702, 2.78739028667702,     0.992559502611712, 0.992559502611712, 7.02528428024291, 5.25441771697918,     5.25441771697918, 1.78959675417539, 7.19522656917909, 5.3164246025958,     8.73312805976008, 6.3246497157767, 5.89774305719458, 8.7626020594192,     6.83990747539866, 6.83990747539866, 6.83990747539866, 6.09361362452056,     6.09361362452056, 6.09361362452056, 9.62304747948633, 10.5624076792504,     9.02287370280385, 9.00000710027316, 1.18819818278275, 1.18819818278275,     1.18819818278275, 1.79768434077991, 1.79768434077991, 10.4339939283081,     7.41084428356965, 7.41084428356965, 1.77558681902092, 9.90794792411486,     6.88823763405616, 8.03637943505081, 3.7180501355292, 3.85357053927014,     7.77825672323586, 8.05917985471927, 8.05917985471927, 8.05917985471927,     5.33362774200417, 5.33362774200417, 5.33362774200417), integration_weights = c(1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), xsmoo = c(0.30149734280081,     0.557721586591504, -0.0417697968384276, -1.07978489717087,     0.734238068587715, 0.734238068587715, 0.734238068587715,     -0.939335378954645, -0.939335378954645, -0.668668653057256,     -0.95554000099689, -0.95554000099689, -1.50207257803854,     -0.331576476827406, -0.0755258019838388, 0.875665119596536,     -0.679850675855534, -0.518569840883196, 1.32824549370944,     0.389513221181857, 0.389513221181857, 0.389513221181857,     -0.100599595147298, -0.100599595147298, -0.100599595147298    ), xte1 = c(-0.549195033818743, -1.35404768117909, -2.01530438871807,     0.592790929152534, 1.66967841532004, 1.66967841532004, 1.66967841532004,     -0.967266027908846, -0.967266027908846, -0.829341365126664,     -0.0770599273382019, -0.0770599273382019, -0.355420964782674,     -1.01347414154902, 1.09468338499145, -2.14041259297538, -0.397138397437131,     -0.166277230051912, -1.51762356607987, -0.435807645806459,     -0.435807645806459, -0.435807645806459, -1.04935338453092,     -1.04935338453092, -1.04935338453092), xte2 = c(0.255728440380257,     0.165208465776849, 0.46315273045661, 1.06993012661437, 0.156569007297343,     0.156569007297343, 0.156569007297343, -0.551799774632661,     -0.551799774632661, -0.281543982899657, 1.48072466486686,     1.48072466486686, 0.134508992127929, -0.936917694826534,     1.18258861189291, 1.20039445269639, -0.615308105970782, 0.956450973560131,     -0.139363949620574, 0.387620826324863, 0.387620826324863,     0.387620826324863, -1.41843687929639, -1.41843687929639,     -1.41843687929639), svals = c(0, 0.05, 0.1, 0.15, 0.2, 0.25,     0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8,     0.85, 0.9, 0.95, 1), tvals = c(0, 0.0555555555555556, 0.111111111111111,     0.166666666666667, 0.222222222222222, 0.277777777777778,     0.333333333333333, 0.388888888888889, 0.444444444444444,     0.5, 0.555555555555556, 0.611111111111111, 0.666666666666667,     0.722222222222222, 0.777777777777778, 0.833333333333333,     0.888888888888889, 0.944444444444444, 1), object_id = NULL))
  16: eval(call)
  17: eval(call)
  18: withCallingHandlers(expr, message = function(c) if (inherits(c,     classes)) tryInvokeRestart("muffleMessage"))
  19: suppressMessages(eval(call))
  20: withCallingHandlers(suppressMessages(eval(call)), warning = h)
  21: fitfct(weights = weights, oobweights = oobweights)
  22: dummyfct(weights = folds[, i], oobweights = OOBweights[, i])
  23: doTryCatch(return(expr), name, parentenv, handler)
  24: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  25: tryCatchList(expr, classes, parentenv, handlers)
  26: tryCatch(expr, error = function(e) {    call <- conditionCall(e)    if (!is.null(call)) {        if (identical(call[[1L]], quote(doTryCatch)))             call <- sys.call(-4L)        dcall <- deparse(call, nlines = 1L)        prefix <- paste("Error in", dcall, ": ")        LONG <- 75L        sm <- strsplit(conditionMessage(e), "\n")[[1L]]        w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w")        if (is.na(w))             w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L],                 type = "b")        if (w > LONG)             prefix <- paste0(prefix, "\n  ")    }    else prefix <- "Error : "    msg <- paste0(prefix, conditionMessage(e), "\n")    .Internal(seterrmessage(msg[1L]))    if (!silent && isTRUE(getOption("show.error.messages"))) {        cat(msg, file = outFile)        .Internal(printDeferredWarnings())    }    invisible(structure(msg, class = "try-error", condition = e))})
  27: try(dummyfct(weights = folds[, i], oobweights = OOBweights[,     i]), silent = TRUE)
  28: FUN(X[[i]], ...)
  29: eval(expr, env)
  30: doTryCatch(return(expr), name, parentenv, handler)
  31: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  32: tryCatchList(expr, classes, parentenv, handlers)
  33: tryCatch(expr, error = function(e) {    call <- conditionCall(e)    if (!is.null(call)) {        if (identical(call[[1L]], quote(doTryCatch)))             call <- sys.call(-4L)        dcall <- deparse(call, nlines = 1L)        prefix <- paste("Error in", dcall, ": ")        LONG <- 75L        sm <- strsplit(conditionMessage(e), "\n")[[1L]]        w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w")        if (is.na(w))             w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L],                 type = "b")        if (w > LONG)             prefix <- paste0(prefix, "\n  ")    }    else prefix <- "Error : "    msg <- paste0(prefix, conditionMessage(e), "\n")    .Internal(seterrmessage(msg[1L]))    if (!silent && isTRUE(getOption("show.error.messages"))) {        cat(msg, file = outFile)        .Internal(printDeferredWarnings())    }    invisible(structure(msg, class = "try-error", condition = e))})
  34: try(eval(expr, env), silent = TRUE)
  35: serialize(what, NULL, xdr = FALSE)
  36: sendMaster(try(eval(expr, env), silent = TRUE), FALSE)
  37: mcparallel(FUN(X[[i]], ...), name = names(X)[i], mc.set.seed = mc.set.seed,     silent = mc.silent)
  38: FUN(X[[i]], ...)
  39: lapply(seq_along(X), function(i) mcparallel(FUN(X[[i]], ...),     name = names(X)[i], mc.set.seed = mc.set.seed, silent = mc.silent))
  40: papply(1:ncol(folds), function(i) try(dummyfct(weights = folds[,     i], oobweights = OOBweights[, i]), silent = TRUE), mc.preschedule = mc.preschedule,     ...)
  41: applyFolds(m, folds = cv(rep(1, length(unique(m$id))), B = 2),     grid = 0:5)
  An irrecoverable exception occurred. R is aborting now ...
  Error in dimnames(x) <- dn : 
    length of 'dimnames' [2] not equal to array extent
  Calls: applyFolds -> colnames<-
  In addition: Warning messages:
  1: In .qr.rank.def.warn(r) :
    matrix is structurally rank deficient; using augmented matrix with additional 56 row(s) of zeros
  2: In .qr.rank.def.warn(r) :
    matrix is structurally rank deficient; using augmented matrix with additional 21 row(s) of zeros
  3: In FDboost(Y ~ bbsc(xsmoo), timeformula = ~bols(xfactor) %X% bbs(tvals),  :
    More than one variable specified in time formula, 
                                  'plot' and other convenience functions potentially not designed for that, yet.
  4: In FDboost(Y ~ bbsc(xsmoo), timeformula = ~bols(xfactor) %X% bbs(tvals),  :
    For timeformulas with multiple variables dfs are not checked automatically.
              Please make sure that all base-learner df are equal to ensure a fair selection.
  5: In FDboost(Y ~ bbsc(xsmoo), timeformula = ~bols(xfactor) %X% bbs(tvals),  :
    In case of factor or multiple time variables no default offset implemented, yet.
                offset is set to 0.
  6: In mccollect(jobs) : 2 parallel jobs did not deliver results
  Execution halted
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking re-building of vignette outputs ... [16s/16s] OK
* checking PDF version of manual ... OK
* checking HTML version of manual ... OK
* checking for detritus in the temp directory ... OK
* DONE

Status: 1 ERROR
See
  ‘/Users/ripley/R/packages/tests-Accelerate/FDboost.Rcheck/00check.log’
for details.

       71.64 real        58.64 user         8.04 sys