* using log directory ‘/data/gannet/ripley/R/packages/tests-ATLAS/factorana.Rcheck’ * using R Under development (unstable) (2026-04-23 r89955) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7) GNU Fortran (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7) * running under: Fedora Linux 42 (Workstation Edition) * using session charset: UTF-8 * current time: 2026-04-24 05:52:29 UTC * using option ‘--no-stop-on-test-error’ * checking for file ‘factorana/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘factorana’ version ‘1.2.0’ * 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 ‘factorana’ can be installed ... [136s/332s] OK * used C++ compiler: ‘g++ (GCC) 15.2.1 20260123 (Red Hat 15.2.1-7)’ * 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 code 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 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 ... [34s/92s] OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd line widths ... 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 line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking use of SHLIB_OPENMP_*FLAGS in Makefiles ... OK * checking pragmas in C/C++ headers and code ... OK * checking compilation flags used ... OK * checking compiled code ... 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 ‘testthat.R’ [51s/151s] [52s/153s] ERROR Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(factorana) > > test_check("factorana") Test passed with 1 success 🌈. Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.0565 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3222 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0568 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0194 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1261 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.2204 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4568 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.0565 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3222 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0568 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0194 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1261 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.2204 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4568 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Saving _problems/test-interaction-factors-1486.R Initializing parameters... Factor identification: Factor 1: NOT identified (variance fixed to 1.0) Estimating component 1 (Y_ord)... Scaling thresholds by 1.118 (factor model variance = 1.25 at initialization) Ordered probit: 1 covariates, 3 thresholds (incremental form) Initialized 6 parameters total Initializing parameters... Factor identification: Factor 1: NOT identified (variance fixed to 1.0) Factor 2: identified by fixed loading (variance will be estimated) Estimating component 1 (Y_ord2)... Scaling thresholds by 1.500 (factor model variance = 2.25 at initialization) Ordered probit: 1 covariates, 3 thresholds (incremental form) Initialized 7 parameters total Initializing parameters... Factor identification: Factor 1: NOT identified (variance fixed to 1.0) Estimating component 1 (Y1)... Linear model: 1 covariates, sigma = 2.6518 Initialized 4 parameters total Initializing parameters... Factor identification: Factor 1: NOT identified (variance fixed to 1.0) Factor 2: NOT identified (variance fixed to 1.0) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (lin3)... Linear model: 2 covariates, sigma = 0.8840 Initialized 7 parameters total Initializing parameters... Factor identification: Factor 1: NOT identified (variance fixed to 1.0) Factor 2: identified by fixed loading (variance will be estimated) Estimating component 1 (prb2)... Probit model: 2 covariates Initialized 5 parameters total Two-stage SE estimation: Stage 1 (independent) -> Stage 2 (SE_linear) Measurement parameters (loadings, thresholds) will be fixed from Stage 1 Factor distribution parameters will use Stage 2 structure Fixing 16 measurement parameters, ignoring 2 factor distribution parameters [ FAIL 1 | WARN 0 | SKIP 123 | PASS 242 ] ══ Skipped tests (123) ═════════════════════════════════════════════════════════ • On CRAN (121): 'test-adaptive-quadrature-hjv.R:10:3', 'test-adaptive-quadrature.R:6:3', 'test-adaptive-quadrature.R:299:3', 'test-correlated-factors.R:70:3', 'test-correlated-factors.R:178:3', 'test-correlated-factors.R:299:3', 'test-dynamic-single-factor.R:67:3', 'test-dynamic-single-factor.R:122:3', 'test-dynamic-single-factor.R:257:3', 'test-dynamic-single-factor.R:516:3', 'test-dynamic-single-factor.R:599:3', 'test-dynamic-single-factor.R:662:3', 'test-dynamic-single-factor.R:733:3', 'test-equality-constraints.R:49:3', 'test-equality-constraints.R:95:3', 'test-equality-constraints.R:131:3', 'test-exploded-nested-logit.R:4:3', 'test-exploded-nested-logit.R:125:3', 'test-exploded-nested-logit.R:211:3', 'test-exploded-nested-logit.R:330:3', 'test-exploded-nested-logit.R:430:3', 'test-factorscores.R:6:3', 'test-factorscores.R:123:3', 'test-factorscores.R:219:3', 'test-factorscores.R:350:3', 'test-factorscores.R:454:3', 'test-fixed-coefficients.R:2:3', 'test-fixed-coefficients.R:42:3', 'test-fixed-coefficients.R:100:3', 'test-fixed-coefficients.R:155:3', 'test-fixed-coefficients.R:209:3', 'test-fixed-coefficients.R:273:3', 'test-hessian-fixed-params.R:8:3', 'test-interaction-factors.R:21:3', 'test-interaction-factors.R:64:3', 'test-interaction-factors.R:106:3', 'test-interaction-factors.R:147:3', 'test-interaction-factors.R:183:3', 'test-interaction-factors.R:220:3', 'test-interaction-factors.R:274:3', 'test-interaction-factors.R:317:3', 'test-interaction-factors.R:361:3', 'test-interaction-factors.R:405:3', 'test-interaction-factors.R:453:3', 'test-interaction-factors.R:501:3', 'test-interaction-factors.R:556:3', 'test-interaction-factors.R:610:3', 'test-interaction-factors.R:660:3', 'test-interaction-factors.R:704:3', 'test-interaction-factors.R:812:3', 'test-interaction-factors.R:900:3', 'test-interaction-factors.R:1008:3', 'test-interaction-factors.R:1142:3', 'test-mixture.R:114:3', 'test-mixture.R:169:3', 'test-mixture.R:244:3', 'test-mixture.R:328:3', 'test-mixture.R:427:3', 'test-observation-weights.R:37:3', 'test-observation-weights.R:80:3', 'test-observation-weights.R:110:3', 'test-parallelization.R:15:3', 'test-parameter-constraints.R:2:3', 'test-parameter-constraints.R:62:3', 'test-quadratic-factors.R:19:3', 'test-quadratic-factors.R:67:3', 'test-quadratic-factors.R:108:3', 'test-quadratic-factors.R:166:3', 'test-quadratic-factors.R:216:3', 'test-quadratic-factors.R:266:3', 'test-quadratic-factors.R:321:3', 'test-quadratic-factors.R:389:3', 'test-quadratic-factors.R:439:3', 'test-quadratic-factors.R:494:3', 'test-quadratic-factors.R:562:3', 'test-quadratic-factors.R:647:3', 'test-quadratic-factors.R:724:3', 'test-quadrature.R:2:3', 'test-quadrature.R:69:3', 'test-se-models.R:4:3', 'test-se-models.R:52:3', 'test-se-models.R:97:3', 'test-se-models.R:141:3', 'test-se-models.R:184:3', 'test-se-models.R:344:3', 'test-se-models.R:367:3', 'test-se-models.R:393:3', 'test-se-models.R:415:3', 'test-se-models.R:437:3', 'test-se-models.R:466:3', 'test-se-models.R:497:3', 'test-se-models.R:527:3', 'test-se-models.R:616:3', 'test-se-models.R:687:3', 'test-systematic-suite.R:22:3', 'test-systematic-suite.R:111:3', 'test-systematic-suite.R:208:3', 'test-systematic-suite.R:323:3', 'test-systematic-suite.R:441:3', 'test-systematic-suite.R:587:3', 'test-systematic-suite.R:702:3', 'test-systematic-suite.R:858:3', 'test-systematic-suite.R:1167:3', 'test-systematic-suite.R:1323:3', 'test-systematic-suite.R:1531:3', 'test-systematic-suite.R:1807:3', 'test-test-05-multifactor.R:66:3', 'test-test-05-multifactor.R:310:3', 'test-test-05-multifactor.R:501:3', 'test-test-05-multifactor.R:667:3', 'test-two-stage-se-types.R:190:3', 'test-two-stage-se-types.R:338:3', 'test-two-stage-se-types.R:462:3', 'test-two-stage.R:8:3', 'test-types.R:78:3', 'test-types.R:133:3', 'test-types.R:212:3', 'test-types.R:284:3', 'test-use-types.R:145:3', 'test-use-types.R:195:3', 'test-use-types.R:273:3' • Skipping 3-factor estimation test (run with NOT_CRAN=true) (1): 'test-interaction-factors.R:1495:3' • Skipping parameter recovery test (set NOT_CRAN=true to run) (1): 'test-fix-type-intercepts.R:387:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-interaction-factors.R:1484:3'): Hessian accuracy for 3-factor linear model with full second order terms ── Expected `hess_check$pass` to be TRUE. Differences: `actual`: FALSE `expected`: TRUE Hessian check failed for 3-factor full model (max error: 1.02e-03) [ FAIL 1 | WARN 0 | SKIP 123 | PASS 242 ] Error: ! Test failures. Execution halted * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... [38s/126s] OK * checking PDF version of manual ... [9s/20s] OK * checking HTML version of manual ... [6s/15s] OK * checking for non-standard things in the check directory ... OK * checking for detritus in the temp directory ... OK * DONE Status: 1 ERROR See ‘/data/gannet/ripley/R/packages/tests-ATLAS/factorana.Rcheck/00check.log’ for details. Command exited with non-zero status 1 Time 14:51.60, 307.09 + 21.11