CRAN Package Check Results for Package vartest

Last updated on 2026-08-20 05:56:14 CEST.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	1.6	3.93	144.58	148.51	OK
r-devel-linux-x86_64-debian-gcc	1.6	2.22	86.56	88.78	OK
r-devel-linux-x86_64-fedora-clang	1.6			95.15	OK
r-devel-linux-x86_64-fedora-gcc	1.6			95.65	OK
r-devel-windows-x86_64	1.6	5.00	169.00	174.00	OK
r-patched-linux-x86_64	1.6	4.46	137.66	142.12	OK
r-release-linux-x86_64	1.6	3.50	140.13	143.63	OK
r-release-macos-arm64	1.6	1.00	35.00	36.00	ERROR
r-release-macos-x86_64	1.6	3.00	227.00	230.00	OK
r-release-windows-x86_64	1.6	4.00	0.00	4.00	OK
r-oldrel-macos-arm64	1.6	1.00	37.00	38.00	ERROR
r-oldrel-macos-x86_64	1.6	3.00	257.00	260.00	OK
r-oldrel-windows-x86_64	1.6	7.00	202.00	209.00	OK

Additional issues

M1mac noLD

Check Details

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) | 0.9690 | 0.0270 | 0.9842 | Suggested * Hartley (Harmonic) | 0.9690 | 0.0270 | 0.9842 | Suggested * Hartley (Max n) | 0.9690 | 0.0270 | 0.9842 | Suggested * Hartley (Min Var) | 0.9690 | 0.0270 | 0.9842 | Suggested * Bartlett | 0.9670 | 0.0260 | 0.9837 | - Z Variance | 0.9610 | 0.0240 | 0.9819 | - Fisher | 0.9880 | 0.0790 | 0.9785 | - Modified Z Variance | 0.9660 | 0.0440 | 0.9704 | - O'Brien (Trimmed Mean) | 0.9440 | 0.0380 | 0.9572 | - Levene (Trim, Sq) | 0.9460 | 0.0400 | 0.9567 | - Levene (Med, Sq) | 0.9420 | 0.0400 | 0.9533 | - O'Brien (Mean) | 0.9490 | 0.0460 | 0.9531 | - Levene (Mean, Sq) | 0.9530 | 0.0500 | 0.9530 | - O'Brien (Median) | 0.9380 | 0.0380 | 0.9523 | - Capon | 0.9380 | 0.0420 | 0.9475 | - Klotz | 0.9380 | 0.0430 | 0.9463 | - Levene (Med, Abs) | 0.9170 | 0.0490 | 0.9185 | - Fligner-Killeen | 0.9090 | 0.0490 | 0.9106 | - Levene (Trim, Abs) | 0.9230 | 0.0590 | 0.9105 | - Levene (Mean, Abs) | 0.9250 | 0.0630 | 0.9074 | - Cochran's C | 0.8200 | 0.0260 | 0.8876 | - G | 0.8200 | 0.0260 | 0.8876 | - Duran | 0.8820 | 0.0500 | 0.8820 | - Mood | 0.8840 | 0.0540 | 0.8765 | - Siegel-Tukey | 0.8060 | 0.0520 | 0.8007 | - Ansari-Bradley | 0.8050 | 0.0530 | 0.7971 | - David-Barton | 0.8050 | 0.0530 | 0.7971 | - Talwar-Gentle | 0.8040 | 0.0530 | 0.7960 | - ========================================================================================== * 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-release-macos-arm64

Version: 1.6
Check: tests
Result: ERROR Running ‘testthat.R’ [18s/20s] 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) | 0.9730 | 0.0280 | 0.9858 | Suggested * Hartley (Harmonic) | 0.9730 | 0.0280 | 0.9858 | Suggested * Hartley (Max n) | 0.9730 | 0.0280 | 0.9858 | Suggested * Hartley (Min Var) | 0.9730 | 0.0280 | 0.9858 | Suggested * Bartlett | 0.9680 | 0.0330 | 0.9796 | - Z Variance | 0.9660 | 0.0330 | 0.9782 | - Modified Z Variance | 0.9740 | 0.0510 | 0.9734 | - Fisher | 0.9860 | 0.0910 | 0.9704 | - Levene (Mean, Sq) | 0.9640 | 0.0590 | 0.9571 | - Levene (Trim, Sq) | 0.9600 | 0.0550 | 0.9558 | - O'Brien (Mean) | 0.9620 | 0.0580 | 0.9556 | - Levene (Med, Sq) | 0.9590 | 0.0550 | 0.9547 | - O'Brien (Trimmed Mean) | 0.9570 | 0.0530 | 0.9543 | - Capon | 0.9550 | 0.0550 | 0.9504 | - Klotz | 0.9530 | 0.0530 | 0.9501 | - O'Brien (Median) | 0.9530 | 0.0540 | 0.9492 | - Levene (Mean, Abs) | 0.9380 | 0.0700 | 0.9145 | - Levene (Trim, Abs) | 0.9340 | 0.0680 | 0.9119 | - Levene (Med, Abs) | 0.9250 | 0.0630 | 0.9074 | - Fligner-Killeen | 0.9090 | 0.0600 | 0.8933 | - Duran | 0.8900 | 0.0630 | 0.8669 | - Cochran's C | 0.8190 | 0.0370 | 0.8539 | - G | 0.8190 | 0.0370 | 0.8539 | - Mood | 0.8890 | 0.0710 | 0.8519 | - Talwar-Gentle | 0.8000 | 0.0600 | 0.7738 | - Siegel-Tukey | 0.7940 | 0.0610 | 0.7648 | - Ansari-Bradley | 0.7930 | 0.0640 | 0.7562 | - David-Barton | 0.7930 | 0.0640 | 0.7562 | - ========================================================================================== * 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