* using log directory ‘/data/gannet/ripley/R/packages/tests-Suggests/abclass.Rcheck’
* using R Under development (unstable) (2025-12-24 r89227)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (GCC) 15.1.1 20250521 (Red Hat 15.1.1-2)
    GNU Fortran (GCC) 15.1.1 20250521 (Red Hat 15.1.1-2)
* running under: Fedora Linux 42 (Workstation Edition)
* using session charset: UTF-8
* using option ‘--no-stop-on-test-error’
* checking for file ‘abclass/DESCRIPTION’ ... OK
* this is package ‘abclass’ version ‘0.5.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... INFO
Package suggested but not available for checking: ‘qpmadr’
* 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
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* checking whether package ‘abclass’ can be installed ... [12m/10m] OK
* used C++ compiler: ‘g++ (GCC) 15.1.1 20250521 (Red Hat 15.1.1-2)’
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
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* checking compiled code ... OK
* checking examples ... ERROR
Running examples in ‘abclass-Ex.R’ failed
The error most likely occurred in:

> ### Name: supclass
> ### Title: Multi-Category Classifiers with Sup-Norm Regularization
> ### Aliases: supclass supclass.control
> 
> ### ** Examples
> 
> library(abclass)
> set.seed(123)
> 
> ## toy examples for demonstration purpose
> ## reference: example 1 in Zhang and Liu (2014)
> ntrain <- 100 # size of training set
> ntest <- 1000 # size of testing set
> p0 <- 2       # number of actual predictors
> p1 <- 2       # number of random predictors
> k <- 3        # number of categories
> 
> n <- ntrain + ntest; p <- p0 + p1
> train_idx <- seq_len(ntrain)
> y <- sample(k, size = n, replace = TRUE)         # response
> mu <- matrix(rnorm(p0 * k), nrow = k, ncol = p0) # mean vector
> ## normalize the mean vector so that they are distributed on the unit circle
> mu <- mu / apply(mu, 1, function(a) sqrt(sum(a ^ 2)))
> x0 <- t(sapply(y, function(i) rnorm(p0, mean = mu[i, ], sd = 0.25)))
> x1 <- matrix(rnorm(p1 * n, sd = 0.3), nrow = n, ncol = p1)
> x <- cbind(x0, x1)
> train_x <- x[train_idx, ]
> test_x <- x[- train_idx, ]
> y <- factor(paste0("label_", y))
> train_y <- y[train_idx]
> test_y <- y[- train_idx]
> 
> ## regularization with the supnorm lasso penalty
> options("mc.cores" = 1)
> model <- supclass(train_x, train_y, model = "psvm", penalty = "lasso")
Error: The package 'qpmadr' is needed but not available.
Execution halted
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘tinytest.R’
 ERROR
Running the tests in ‘tests/tinytest.R’ failed.
Complete output:
  > if (requireNamespace("tinytest", quietly = TRUE) &&
  +     utils::packageVersion("tinytest") >= "1.2.2") {
  +     set.seed(808)
  +     tinytest::test_package("abclass", ncpu = NULL,
  +                            side_effects = TRUE)
  + }
  
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  Execution halted
* checking PDF version of manual ... OK
* checking HTML version of manual ... OK
* checking for non-standard things in the check directory ... OK
* checking for detritus in the temp directory ... OK
* DONE

Status: 2 ERRORs
See
  ‘/data/gannet/ripley/R/packages/tests-Suggests/abclass.Rcheck/00check.log’
for details.

Command exited with non-zero status 1
Time 11:29.77, 735.38 + 27.52