CRAN Package Check Results for Package wsMed

Last updated on 2026-11-05 04:02:49 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.2.0 22.52 422.04 444.56 OK
r-devel-linux-x86_64-debian-gcc 1.2.0 14.65 258.94 273.59 OK
r-devel-linux-x86_64-fedora-clang 1.2.0 16.00 280.63 296.63 OK
r-devel-linux-x86_64-fedora-gcc 1.2.2 16.00 280.81 296.81 OK
r-devel-windows-x86_64 1.1.0 24.00 404.00 428.00 OK
r-patched-linux-x86_64 1.2.0 OK
r-release-linux-x86_64 1.2.0 21.20 410.94 432.14 OK
r-release-macos-arm64 1.2.2 5.00 103.00 108.00 OK
r-release-macos-x86_64 1.2.2 15.00 587.00 602.00 OK
r-release-windows-x86_64 1.2.0 26.00 467.00 493.00 OK
r-oldrel-macos-arm64 1.2.2 7.00 138.00 145.00 ERROR
r-oldrel-macos-x86_64 1.2.0 15.00 595.00 610.00 OK
r-oldrel-windows-x86_64 1.2.0 34.00 406.00 440.00 OK

Check Details

Version: 1.2.2
Check: tests
Result: ERROR Running ‘testthat.R’ [56s/68s] 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(wsMed) > test_check("wsMed") This is lavaan 0.7-3 lavaan is FREE software! Please report any bugs. Attaching package: 'mice' The following object is masked from 'package:stats': filter The following objects are masked from 'package:base': cbind, rbind Class: mids Number of multiple imputations: 1 Imputation methods: C1 C2 A1 B1 D1 D2 C3 W_cont "" "pmm" "pmm" "" "" "" "" "" PredictorMatrix: C1 C2 A1 B1 D1 D2 C3 W_cont C1 0 1 1 1 1 1 1 1 C2 1 0 1 1 1 1 1 1 A1 1 1 0 1 1 1 1 1 B1 1 1 1 0 1 1 1 1 D1 1 1 1 1 0 1 1 1 D2 1 1 1 1 1 0 1 1 Class: mids Number of multiple imputations: 1 Imputation methods: C1 C2 A1 B1 D1 D2 C3 W_cont "" "pmm" "pmm" "" "" "" "" "" PredictorMatrix: C1 C2 A1 B1 D1 D2 C3 W_cont C1 0 1 1 1 1 1 1 1 C2 1 0 1 1 1 1 1 1 A1 1 1 0 1 1 1 1 1 B1 1 1 1 0 1 1 1 1 D1 1 1 1 1 0 1 1 1 D2 1 1 1 1 1 0 1 1 Class: mids Number of multiple imputations: 1 Imputation methods: C1 C2 A1 B1 D1 D2 C3 W_cont "" "pmm" "pmm" "" "" "" "" "" PredictorMatrix: C1 C2 A1 B1 D1 D2 C3 W_cont C1 0 1 1 1 1 1 1 1 C2 1 0 1 1 1 1 1 1 A1 1 1 0 1 1 1 1 1 B1 1 1 1 0 1 1 1 1 D1 1 1 1 1 0 1 1 1 D2 1 1 1 1 1 0 1 1 Class: mids Number of multiple imputations: 1 Imputation methods: C1 C2 A1 B1 D1 D2 C3 W_cont "" "pmm" "pmm" "" "" "" "" "" PredictorMatrix: C1 C2 A1 B1 D1 D2 C3 W_cont C1 0 1 1 1 1 1 1 1 C2 1 0 1 1 1 1 1 1 A1 1 1 0 1 1 1 1 1 B1 1 1 1 0 1 1 1 1 D1 1 1 1 1 0 1 1 1 D2 1 1 1 1 1 0 1 1 Class: mids Number of multiple imputations: 1 Imputation methods: C1 C2 A1 B1 D1 D2 C3 W_bin "" "pmm" "pmm" "" "" "" "" "" PredictorMatrix: C1 C2 A1 B1 D1 D2 C3 W_bin C1 0 1 1 1 1 1 1 1 C2 1 0 1 1 1 1 1 1 A1 1 1 0 1 1 1 1 1 B1 1 1 1 0 1 1 1 1 D1 1 1 1 1 0 1 1 1 D2 1 1 1 1 1 0 1 1 Class: mids Number of multiple imputations: 1 Imputation methods: C1 C2 A1 B1 D1 D2 C3 W_fac3 "" "pmm" "pmm" "" "" "" "" "polyreg" PredictorMatrix: C1 C2 A1 B1 D1 D2 C3 W_fac3 C1 0 1 1 1 1 1 1 1 C2 1 0 1 1 1 1 1 1 A1 1 1 0 1 1 1 1 1 B1 1 1 1 0 1 1 1 1 D1 1 1 1 1 0 1 1 1 D2 1 1 1 1 1 0 1 1 Class: mids Number of multiple imputations: 1 Imputation methods: C1 C2 A1 B1 D1 D2 C3 W_cont "" "pmm" "pmm" "" "" "" "" "" PredictorMatrix: C1 C2 A1 B1 D1 D2 C3 W_cont C1 0 1 1 1 1 1 1 1 C2 1 0 1 1 1 1 1 1 A1 1 1 0 1 1 1 1 1 B1 1 1 1 0 1 1 1 1 D1 1 1 1 1 0 1 1 1 D2 1 1 1 1 1 0 1 1 Outcome Difference Model (Ydiff): Ydiff ~ cp*1 + b1*M1diff + d1*M1avg Mediator Difference Model (Chained Mediator - M1diff): M1diff ~ a1*1 Mediator Difference Model (Other Mediators): M2diff ~ a2*1 + b_1_2*M1diff + d_1_2*M1avg Indirect Effects: indirect_1 := a1 * b1 indirect_1_2 := a1 * b_1_2 * b2 Total Indirect Effect: total_indirect := indirect_1 + indirect_1_2 Total Effect: total_effect := cp + total_indirect Saving _problems/test-standardization-phase1-250.R wsMed analysis Model: P | DE | Observations: 100 Effects: wsMed all | raw scale | mc 90% percentile intervals; 100 joint draws; SE from effect draws Condition contrast: after - before Estimate Std. Error CI lower CI upper cp: Direct effect -0.031795 0.015409 -0.057592 -0.004816 indirect_1: A 0.001311 0.004008 -0.003845 0.006398 indirect_2: B -0.001120 0.002270 -0.004713 0.002851 total_indirect: Total indirect effect 0.000191 0.004416 -0.006473 0.005860 total: Total effect -0.031604 0.014997 -0.052637 -0.006763 Inference draws: 100 retained of 100 ; 0 excluded before effect extraction. Use as.data.frame() for the full-precision table and metadata. Post-fit admissibility: 1 of 1 ; excluded rows: 0 [ FAIL 1 | WARN 0 | SKIP 8 | PASS 2191 ] ══ Skipped tests (8) ═══════════════════════════════════════════════════════════ • On CRAN (8): 'test-WsMed.R:135:3', 'test-WsMed.R:162:3', 'test-modular-workflow.R:224:3', 'test-print.WsMed.R:81:3', 'test-product-covariances.R:130:3', 'test-product-covariances.R:293:3', 'test-workflow-presentation.R:185:3', 'test-workflow-reliability.R:170:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-standardization-phase1.R:250:5'): UD sparse and reverse-order paths use the same standardization rules ── Expected maximum scaled refit difference categorical forward <= `tolerance`. Actual comparison: 0.0000239 > 0.0000200 Difference: 0.0000039 > 0 Backtrace: ▆ 1. └─wsMed:::expect_refit_equal(...) at test-standardization-phase1.R:250:5 2. └─testthat::expect_lte(...) at ./helper-refit-comparison.R:27:3 [ FAIL 1 | WARN 0 | SKIP 8 | PASS 2191 ] Error: ! Test failures. Execution halted Flavor: r-oldrel-macos-arm64