CRAN Package Check Results for Package vartest

Last updated on 2026-08-07 02:56:07 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.6 3.18 141.41 144.59 OK
r-devel-linux-x86_64-debian-gcc 1.6 2.90 86.85 89.75 OK
r-devel-linux-x86_64-fedora-clang 1.6 95.15 OK
r-devel-linux-x86_64-fedora-gcc 1.6 92.92 OK
r-devel-windows-x86_64 1.6 5.00 146.00 151.00 OK
r-patched-linux-x86_64 1.6 4.39 136.29 140.68 OK
r-release-linux-x86_64 1.6 3.78 141.36 145.14 OK
r-release-macos-arm64 1.6 1.00 39.00 40.00 ERROR
r-release-macos-x86_64 1.6 3.00 227.00 230.00 OK
r-release-windows-x86_64 1.6 6.00 149.00 155.00 OK
r-oldrel-macos-arm64 1.6 1.00 39.00 40.00 ERROR
r-oldrel-macos-x86_64 1.6 3.00 257.00 260.00 OK
r-oldrel-windows-x86_64 1.6 7.00 197.00 204.00 OK

Additional issues

M1mac noLD

Check Details

Version: 1.6
Check: tests
Result: ERROR Running ‘testthat.R’ [19s/22s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(vartest) Attaching package: 'vartest' The following objects are masked from 'package:stats': ansari.test, mood.test > > test_check("vartest") ========================================================================================== Test Method | Power | Type I Error | Adj. Power | Evaluation ------------------------------------------------------------------------------------------ Bartlett | 0.9790 | 0.0280 | 0.9893 | Suggested * Hartley (Mean) | 0.9800 | 0.0300 | 0.9890 | - Hartley (Harmonic) | 0.9800 | 0.0300 | 0.9890 | - Hartley (Max n) | 0.9800 | 0.0300 | 0.9890 | - Hartley (Min Var) | 0.9800 | 0.0300 | 0.9890 | - Z Variance | 0.9770 | 0.0280 | 0.9881 | - Fisher | 0.9920 | 0.0840 | 0.9839 | - Modified Z Variance | 0.9810 | 0.0500 | 0.9810 | - Levene (Med, Sq) | 0.9700 | 0.0410 | 0.9759 | - O'Brien (Median) | 0.9650 | 0.0380 | 0.9739 | - O'Brien (Mean) | 0.9720 | 0.0480 | 0.9732 | - Levene (Trim, Sq) | 0.9710 | 0.0470 | 0.9729 | - Levene (Mean, Sq) | 0.9730 | 0.0510 | 0.9724 | - Klotz | 0.9680 | 0.0440 | 0.9721 | - Capon | 0.9670 | 0.0430 | 0.9720 | - O'Brien (Trimmed Mean) | 0.9640 | 0.0440 | 0.9686 | - Levene (Med, Abs) | 0.9440 | 0.0460 | 0.9484 | - Levene (Mean, Abs) | 0.9520 | 0.0540 | 0.9481 | - Levene (Trim, Abs) | 0.9470 | 0.0500 | 0.9470 | - Fligner-Killeen | 0.9370 | 0.0440 | 0.9442 | - Duran | 0.9190 | 0.0490 | 0.9205 | - Mood | 0.9140 | 0.0520 | 0.9110 | - Cochran's C | 0.8470 | 0.0300 | 0.8961 | - G | 0.8470 | 0.0300 | 0.8961 | - Talwar-Gentle | 0.8310 | 0.0470 | 0.8384 | - Ansari-Bradley | 0.8310 | 0.0480 | 0.8359 | - David-Barton | 0.8310 | 0.0480 | 0.8359 | - Siegel-Tukey | 0.8260 | 0.0480 | 0.8310 | - ========================================================================================== * Suggested method yielding the highest adjusted power. Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 Ansari Bradley Test data: Sepal.Length and Species X-squared = 9.5137, df = 2, p-value = 0.008593 Capon Test data: Sepal.Length and Species X-squared = 10.234, df = 2, p-value = 0.005993 David Barton Test data: Sepal.Length and Species X-squared = 9.5137, df = 2, p-value = 0.008593 Duran Test data: Sepal.Length and Species X-squared = 9.6837, df = 2, p-value = 0.007892 Fligner-Killeen Test data: Sepal.Length and Species X-squared = 11.618, df = 2, p-value = 0.003 Klotz Test data: Sepal.Length and Species X-squared = 11.304, df = 2, p-value = 0.00351 Mood Test data: Sepal.Length and Species X-squared = 9.4451, df = 2, p-value = 0.008893 Siegel Tukey Test data: Sepal.Length and Species X-squared = 8.4519, df = 2, p-value = 0.01461 Talwar and Gentle Test data: Sepal.Length and Species X-squared = 9.6413, df = 2, p-value = 0.008062 Saving _problems/testthat-vht-182.R Saving _problems/testthat-vht-182.R Cochran's C Test data: Sepal.Length and Species F = 0.50859, num df = 49, denom df = 98, p-value = 0.003456 Modified Z Variance Test data: Sepal.Length and Species F = 8.2779, num df = 2, denom df = Inf, p-value = 0.0002541 Fisher's Test data: Sepal.Length and Species F = 3.2543, num df.virginica = 49, denom df.setosa = 49, p-value = 6.366e-05 G Test data: Sepal.Length and Species F.virginica = 0.50859, num df = 49, denom df = 98, p-value = 0.003456 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Levene's Test data: Sepal.Length and Species F = 7.3811, num df = 2, denom df = 147, p-value = 0.0008818 Levene's Test data: Sepal.Length and Species F = 6.3527, num df = 2, denom df = 147, p-value = 0.002259 Levene's Test data: Sepal.Length and Species F = 6.7289, num df = 2, denom df = 147, p-value = 0.001599 Levene's Test data: Sepal.Length and Species F = 6.5889, num df = 2, denom df = 147, p-value = 0.001818 Levene's Test data: Sepal.Length and Species F = 6.5612, num df = 2, denom df = 147, p-value = 0.001865 Levene's Test data: Sepal.Length and Species F = 6.5171, num df = 2, denom df = 147, p-value = 0.001942 O'Brien Test data: Sepal.Length and Species F = 6.4537, num df = 2, denom df = 147, p-value = 0.002058 O'Brien Test data: Sepal.Length and Species F = 6.4303, num df = 2, denom df = 147, p-value = 0.002103 O'Brien Test data: Sepal.Length and Species F = 6.385, num df = 2, denom df = 147, p-value = 0.002192 Z Variance Test data: Sepal.Length and Species F = 7.6225, num df = 2, denom df = Inf, p-value = 0.0004893 Bartlett's Test data: Sepal.Length and Species X-squared = 14.625, df = 2, p-value = 0.000667 Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 [ FAIL 2 | WARN 1 | SKIP 0 | PASS 279 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('testthat-vht.R:182:3'): Talwar Gentle test works ────────────────── Expected `unname(result$statistic)` to equal `unname(statistic)`. Differences: 1/1 mismatches [1] 9.64 - 9.64 == -0.000173 Backtrace: ▆ 1. └─vartest (local) expect_matches_reference(result, validation$statistic, validation$p.value) at testthat-vht.R:182:3 2. └─testthat::expect_equal(...) at testthat-vht.R:32:3 ── Failure ('testthat-vht.R:182:3'): Talwar Gentle test works ────────────────── Expected `result$p.value` to equal `as.numeric(p.value)`. Differences: 1/1 mismatches [1] 0.00806 - 0.00806 == 6.98e-07 Backtrace: ▆ 1. └─vartest (local) expect_matches_reference(result, validation$statistic, validation$p.value) at testthat-vht.R:182:3 2. └─testthat::expect_equal(result$p.value, as.numeric(p.value), tolerance = tolerance) at testthat-vht.R:33:3 [ FAIL 2 | WARN 1 | SKIP 0 | PASS 279 ] Error: ! Test failures. Execution halted Flavor: r-release-macos-arm64

Version: 1.6
Check: tests
Result: ERROR Running ‘testthat.R’ [19s/21s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(vartest) Attaching package: 'vartest' The following objects are masked from 'package:stats': ansari.test, mood.test > > test_check("vartest") ========================================================================================== Test Method | Power | Type I Error | Adj. Power | Evaluation ------------------------------------------------------------------------------------------ Hartley (Mean) | 0.9820 | 0.0290 | 0.9906 | Suggested * Hartley (Harmonic) | 0.9820 | 0.0290 | 0.9906 | Suggested * Hartley (Max n) | 0.9820 | 0.0290 | 0.9906 | Suggested * Hartley (Min Var) | 0.9820 | 0.0290 | 0.9906 | Suggested * Fisher | 0.9950 | 0.0880 | 0.9888 | - Z Variance | 0.9810 | 0.0330 | 0.9883 | - Bartlett | 0.9820 | 0.0350 | 0.9882 | - Modified Z Variance | 0.9840 | 0.0510 | 0.9836 | - Capon | 0.9660 | 0.0380 | 0.9747 | - Klotz | 0.9660 | 0.0380 | 0.9747 | - Levene (Mean, Sq) | 0.9760 | 0.0570 | 0.9721 | - Levene (Trim, Sq) | 0.9710 | 0.0520 | 0.9697 | - O'Brien (Median) | 0.9660 | 0.0450 | 0.9696 | - O'Brien (Mean) | 0.9720 | 0.0550 | 0.9689 | - Levene (Med, Sq) | 0.9690 | 0.0510 | 0.9683 | - O'Brien (Trimmed Mean) | 0.9650 | 0.0490 | 0.9657 | - Levene (Med, Abs) | 0.9410 | 0.0420 | 0.9501 | - Levene (Trim, Abs) | 0.9480 | 0.0550 | 0.9428 | - Fligner-Killeen | 0.9280 | 0.0430 | 0.9374 | - Levene (Mean, Abs) | 0.9500 | 0.0630 | 0.9370 | - Mood | 0.9090 | 0.0430 | 0.9202 | - Duran | 0.9090 | 0.0470 | 0.9138 | - Cochran's C | 0.8310 | 0.0340 | 0.8725 | - G | 0.8310 | 0.0340 | 0.8725 | - Ansari-Bradley | 0.8110 | 0.0430 | 0.8299 | - David-Barton | 0.8110 | 0.0430 | 0.8299 | - Talwar-Gentle | 0.8110 | 0.0430 | 0.8299 | - Siegel-Tukey | 0.8100 | 0.0430 | 0.8289 | - ========================================================================================== * Suggested method yielding the highest adjusted power with the lowest Type I error. Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 Ansari Bradley Test data: Sepal.Length and Species X-squared = 9.5137, df = 2, p-value = 0.008593 Capon Test data: Sepal.Length and Species X-squared = 10.234, df = 2, p-value = 0.005993 David Barton Test data: Sepal.Length and Species X-squared = 9.5137, df = 2, p-value = 0.008593 Duran Test data: Sepal.Length and Species X-squared = 9.6837, df = 2, p-value = 0.007892 Fligner-Killeen Test data: Sepal.Length and Species X-squared = 11.618, df = 2, p-value = 0.003 Klotz Test data: Sepal.Length and Species X-squared = 11.304, df = 2, p-value = 0.00351 Mood Test data: Sepal.Length and Species X-squared = 9.4451, df = 2, p-value = 0.008893 Siegel Tukey Test data: Sepal.Length and Species X-squared = 8.4519, df = 2, p-value = 0.01461 Talwar and Gentle Test data: Sepal.Length and Species X-squared = 9.6413, df = 2, p-value = 0.008062 Saving _problems/testthat-vht-182.R Saving _problems/testthat-vht-182.R Cochran's C Test data: Sepal.Length and Species F = 0.50859, num df = 49, denom df = 98, p-value = 0.003456 Modified Z Variance Test data: Sepal.Length and Species F = 8.2779, num df = 2, denom df = Inf, p-value = 0.0002541 Fisher's Test data: Sepal.Length and Species F = 3.2543, num df.virginica = 49, denom df.setosa = 49, p-value = 6.366e-05 G Test data: Sepal.Length and Species F.virginica = 0.50859, num df = 49, denom df = 98, p-value = 0.003456 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Levene's Test data: Sepal.Length and Species F = 7.3811, num df = 2, denom df = 147, p-value = 0.0008818 Levene's Test data: Sepal.Length and Species F = 6.3527, num df = 2, denom df = 147, p-value = 0.002259 Levene's Test data: Sepal.Length and Species F = 6.7289, num df = 2, denom df = 147, p-value = 0.001599 Levene's Test data: Sepal.Length and Species F = 6.5889, num df = 2, denom df = 147, p-value = 0.001818 Levene's Test data: Sepal.Length and Species F = 6.5612, num df = 2, denom df = 147, p-value = 0.001865 Levene's Test data: Sepal.Length and Species F = 6.5171, num df = 2, denom df = 147, p-value = 0.001942 O'Brien Test data: Sepal.Length and Species F = 6.4537, num df = 2, denom df = 147, p-value = 0.002058 O'Brien Test data: Sepal.Length and Species F = 6.4303, num df = 2, denom df = 147, p-value = 0.002103 O'Brien Test data: Sepal.Length and Species F = 6.385, num df = 2, denom df = 147, p-value = 0.002192 Z Variance Test data: Sepal.Length and Species F = 7.6225, num df = 2, denom df = Inf, p-value = 0.0004893 Bartlett's Test data: Sepal.Length and Species X-squared = 14.625, df = 2, p-value = 0.000667 Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 [ FAIL 2 | WARN 1 | SKIP 0 | PASS 279 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('testthat-vht.R:182:3'): Talwar Gentle test works ────────────────── Expected `unname(result$statistic)` to equal `unname(statistic)`. Differences: 1/1 mismatches [1] 9.64 - 9.64 == -0.000173 Backtrace: ▆ 1. └─vartest (local) expect_matches_reference(result, validation$statistic, validation$p.value) at testthat-vht.R:182:3 2. └─testthat::expect_equal(...) at testthat-vht.R:32:3 ── Failure ('testthat-vht.R:182:3'): Talwar Gentle test works ────────────────── Expected `result$p.value` to equal `as.numeric(p.value)`. Differences: 1/1 mismatches [1] 0.00806 - 0.00806 == 6.98e-07 Backtrace: ▆ 1. └─vartest (local) expect_matches_reference(result, validation$statistic, validation$p.value) at testthat-vht.R:182:3 2. └─testthat::expect_equal(result$p.value, as.numeric(p.value), tolerance = tolerance) at testthat-vht.R:33:3 [ FAIL 2 | WARN 1 | SKIP 0 | PASS 279 ] Error: ! Test failures. Execution halted Flavor: r-oldrel-macos-arm64