CRAN Package Check Results for Package slideimp

Last updated on 2026-06-12 04:59:04 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.1.0 122.35 85.48 207.83 OK
r-devel-linux-x86_64-debian-gcc 1.1.0 85.95 66.38 152.33 OK
r-devel-linux-x86_64-fedora-clang 1.1.0 178.00 150.29 328.29 ERROR
r-devel-linux-x86_64-fedora-gcc 1.1.0 230.00 165.62 395.62 ERROR
r-devel-windows-x86_64 1.1.0 137.00 123.00 260.00 OK
r-patched-linux-x86_64 1.1.0 112.31 81.57 193.88 OK
r-release-linux-x86_64 1.1.0 114.84 80.45 195.29 OK
r-release-macos-arm64 1.1.0 26.00 46.00 72.00 OK
r-release-macos-x86_64 1.1.0 74.00 162.00 236.00 OK
r-release-windows-x86_64 1.1.0 141.00 122.00 263.00 OK
r-oldrel-macos-arm64 1.1.0 20.00 27.00 47.00 OK
r-oldrel-macos-x86_64 1.1.0 73.00 149.00 222.00 OK
r-oldrel-windows-x86_64 1.1.0 153.00 154.00 307.00 OK

Additional issues

M1mac

Check Details

Version: 1.1.0
Check: tests
Result: ERROR Running ‘testthat.R’ [56s/122s] 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 OMP: Warning #96: Cannot form a team with 8 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). 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 Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.1.0
Check: tests
Result: ERROR Running ‘testthat.R’ [57s/85s] 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 Flavor: r-devel-linux-x86_64-fedora-gcc