* using log directory ‘/Users/ripley/R/packages/tests-devel/slideimp.Rcheck’
* using R Under development (unstable) (2026-06-11 r90128)
* using platform: aarch64-apple-darwin25.5.0
* R was compiled by
    Apple clang version 21.0.0 (clang-2100.1.1.101)
    GNU Fortran (GCC) 14.2.0
* running under: macOS Tahoe 26.5.1
* using session charset: UTF-8
* current time: 2026-06-11 12:37:25 UTC
* using option ‘--no-stop-on-test-error’
* checking for file ‘slideimp/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘slideimp’ version ‘1.1.0’
* 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 ‘slideimp’ can be installed ... [35s/37s] OK
* used C++ compiler: ‘Apple clang version 21.0.0 (clang-2100.1.1.101)’
* used SDK: ‘MacOSX26.5.sdk’
* 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 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 ... 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 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 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’
 [10s/10s] 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(slideimp)
  > 
  > test_check("slideimp")
  Imputing 2 groups using KNN.
  Running mode: sequential
  Imputing 2 groups using KNN.
  Running mode: sequential
  Imputing 2 groups using PCA.
  Running mode: sequential
  Imputing 2 groups using PCA.
  Running mode: sequential
  Imputing 2 groups using KNN.
  Running mode: sequential
  Imputing 2 groups using KNN.
  Running mode: sequential
  Imputing 3 groups using KNN.
  Running mode: sequential
  Imputing 2 groups using KNN.
  Running mode: sequential
  Imputing 2 groups using KNN.
  Running mode: sequential
  Imputing 2 groups using PCA.
  Running mode: sequential
  Imputing 2 groups using KNN.
  Running mode: sequential
  ! 10 columns in `obj` have no matching entry in `group` and will be left untouched.
  i feature1, feature2, feature3, feature4, feature5, ...
  Imputing 2 groups using KNN.
  Running mode: sequential
  Imputing 2 groups using PCA.
  Running mode: sequential
  ! 10 columns in `obj` have no matching entry in `group` and will be left untouched.
  i feature1, feature2, feature3, feature4, feature5, ...
  Imputing 2 groups using PCA.
  Running mode: sequential
  ! 1 column in `obj` has no matching entry in `group` and will be left untouched.
  i e
  ! 3 columns in `obj` have no matching entry in `group` and will be left untouched.
  i d, e, f
  ! 15 columns in `obj` have no matching entry in `group` and will be left untouched.
  i feature6, feature7, feature8, feature9, feature10, ...
  Imputing 1 group using KNN.
  Running mode: sequential
  Saving _problems/test-pca_imp-7.R
  Saving _problems/test-pca_imp-116.R
  Saving _problems/test-pca_imp-179.R
  Step 1/2: Imputing
   Processing window 1 of 3
   Processing window 2 of 3
   Processing window 3 of 3
  Step 2/2: Averaging overlapping regions
  Step 1/2: Imputing
   Processing window 1 of 3
   Processing window 2 of 3
   Processing window 3 of 3
  Step 2/2: Averaging overlapping regions
  Step 1/2: Imputing
   Processing window 1 of 3
   Processing window 2 of 3
   Processing window 3 of 3
  Step 2/2: Averaging overlapping regions
  No features in `subset` detected. No imputation was performed.
  No columns to impute. Returning input unchanged.
  Dropping 1 window(s) covering no `subset` columns.
  Step 1/2: Imputing
   Processing window 1 of 2
   Processing window 2 of 2
  Step 2/2: Averaging overlapping regions
  Step 1/2: Imputing
   Processing window 1 of 3
   Processing window 2 of 3
   Processing window 3 of 3
  Step 2/2: Averaging overlapping regions
  Step 1/2: Imputing
   Processing window 1 of 3
   Processing window 2 of 3
   Processing window 3 of 3
  Step 2/2: Averaging overlapping regions
  Step 1/2: Imputing
   Processing window 1 of 3
   Processing window 2 of 3
   Processing window 3 of 3
  Step 2/2: Averaging overlapping regions
  Dropping 1 window(s) covering no `subset` columns.
  Step 1/2: Imputing
   Processing window 1 of 2
   Processing window 2 of 2
  Step 2/2: Averaging overlapping regions
  Dropping 1 window(s) covering no `subset` columns.
  Step 1/2: Imputing
   Processing window 1 of 2
   Processing window 2 of 2
  Step 2/2: Averaging overlapping regions
  Tuning `slide_imp()`
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning `knn_imp()`
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning `pca_imp()`
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning custom function
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning `slide_imp()`
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning `knn_imp()`
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning custom function
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning `slide_imp()`
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning custom function
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning custom function
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning custom function
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning custom function
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning custom function
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning custom function
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning custom function
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning custom function
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning custom function
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Step 1/2: Imputing
   Processing window 1 of 3
   Processing window 2 of 3
   Processing window 3 of 3
  Step 2/2: Averaging overlapping regions
  Step 1/2: Imputing
   Processing window 1 of 3
   Processing window 2 of 3
   Processing window 3 of 3
  Step 2/2: Averaging overlapping regions
  Tuning `slide_imp()`
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  Tuning `slide_imp()`
  Step 1/2: Resolving NA locations
  Running mode: sequential
  Step 2/2: Tuning
  [ FAIL 3 | WARN 24 | SKIP 3 | PASS 496 ]
  
  ══ Skipped tests (3) ═══════════════════════════════════════════════════════════
  • Manual Testing Only (1): 'test-knn_imp.R:82:3'
  • empty test (1): 'test-group_imp.R:331:1'
  • manual testing with {slideimp.extra} on local machines only (1):
    'test-group_imp.R:678:3'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-pca_imp.R:7:3'): same results as imputePCA ─────────────────────
  Error in `if ((criterion < threshold) && (nb.iter > 5)) nb.iter <- 0`: missing value where TRUE/FALSE needed
  Backtrace:
      ▆
   1. └─missMDA::imputePCA(to_test, ncp = 2, nb.init = 1, seed = 1234) at test-pca_imp.R:7:3
   2.   └─missMDA (local) impute(...)
  ── Error ('test-pca_imp.R:116:3'): same results as imputePCA, scale = FALSE ────
  Error in `if ((criterion < threshold) && (nb.iter > 5)) nb.iter <- 0`: missing value where TRUE/FALSE needed
  Backtrace:
      ▆
   1. └─missMDA::imputePCA(...) at test-pca_imp.R:116:3
   2.   └─missMDA (local) impute(...)
  ── Error ('test-pca_imp.R:176:3'): row.w = 'n_miss' matches missMDA::imputePCA with equivalent weights ──
  Error in `if ((criterion < threshold) && (nb.iter > 5)) nb.iter <- 0`: missing value where TRUE/FALSE needed
  Backtrace:
      ▆
   1. └─missMDA::imputePCA(...) at test-pca_imp.R:176:3
   2.   └─missMDA (local) impute(...)
  
  [ FAIL 3 | WARN 24 | SKIP 3 | PASS 496 ]
  Error:
  ! Test failures.
  Execution halted
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... 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-devel/slideimp.Rcheck/00check.log’
for details.

       75.56 real        59.08 user        11.17 sys