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Each row is scored by the product engine against a named reference (NIST StRD, R, SciPy, lifelines, scikit-posthocs, lmfit). Digits are −log10 of relative error (absolute when the certified value is 0). This page is generated from that scoring path — not a hand-edited table.

References: NIST StRD certified values (vendored .dat); R 4.4.2; SciPy 1.14.1; lifelines 0.30.3; scikit-posthocs 0.17.0; lmfit 1.3.4. 423 statistics. All rows meet their digit target. Licenses

NIST StRD — univariate

NIST StRD — univariate: analysis, dataset, statistic, reference, digits achieved, and target
AnalysisDatasetStatisticReferenceDigitsTarget
Sample meanLewmeanNIST StRD16.009
Sample standard deviationLewsdNIST StRD15.399
Sample meanLotterymeanNIST StRD15.189
Sample standard deviationLotterysdNIST StRD15.719
Sample meanMavromeanNIST StRD16.009
Sample standard deviationMavrosdNIST StRD13.129
Sample meanMichelsomeanNIST StRD16.009
Sample standard deviationMichelsosdNIST StRD13.849
Sample meanNumAcc1meanNIST StRD16.009
Sample standard deviationNumAcc1sdNIST StRD16.009
Sample meanNumAcc2meanNIST StRD16.009
Sample standard deviationNumAcc2sdNIST StRD15.569
Sample meanNumAcc3meanNIST StRD15.939
Sample standard deviationNumAcc3sdNIST StRD9.469
Sample meanNumAcc4meanNIST StRD15.739
Sample standard deviationNumAcc4sdNIST StRDIEEE doubles of the 9-digit ASCII cannot reach 9 certified SD digits (ceiling ≈ 8.25).8.258
Sample meanPiDigitsmeanNIST StRD16.009
Sample standard deviationPiDigitssdNIST StRD15.219

NIST StRD — ANOVA

NIST StRD — ANOVA: analysis, dataset, statistic, reference, digits achieved, and target
AnalysisDatasetStatisticReferenceDigitsTarget
One-way ANOVAAtmWtAgFNIST StRD10.159
One-way ANOVASiRstvFNIST StRD13.069
One-way ANOVASmLs01FNIST StRD15.779
One-way ANOVASmLs02FNIST StRD16.009
One-way ANOVASmLs03FNIST StRD15.949
One-way ANOVASmLs04FNIST StRD10.439
One-way ANOVASmLs05FNIST StRD10.219
One-way ANOVASmLs06FNIST StRD10.199
One-way ANOVASmLs07FNIST StRD13 identical leading digits in the ASCII; IEEE doubles of that data yield LRE ≈ 4.2 vs certified F.4.414
One-way ANOVASmLs08FNIST StRD13 identical leading digits in the ASCII; IEEE doubles of that data yield LRE ≈ 4.2 vs certified F.4.194
One-way ANOVASmLs09FNIST StRD13 identical leading digits in the ASCII; IEEE doubles of that data yield LRE ≈ 4.2 vs certified F.4.174

NIST StRD — linear regression

NIST StRD — linear regression: analysis, dataset, statistic, reference, digits achieved, and target
AnalysisDatasetStatisticReferenceDigitsTarget
Multiple linear regressionFilipB0NIST StRD12.229
Multiple linear regressionFilipB1NIST StRD13.109
Multiple linear regressionFilipB2NIST StRD13.209
Multiple linear regressionFilipB3NIST StRD13.309
Multiple linear regressionFilipB4NIST StRD13.539
Multiple linear regressionFilipB5NIST StRD13.919
Multiple linear regressionFilipB6NIST StRD16.009
Multiple linear regressionFilipB7NIST StRD13.749
Multiple linear regressionFilipB8NIST StRD13.429
Multiple linear regressionFilipB9NIST StRD13.299
Multiple linear regressionFilipB10NIST StRD13.169
Multiple linear regressionLongleyB0NIST StRD13.159
Multiple linear regressionLongleyB1NIST StRD11.369
Multiple linear regressionLongleyB2NIST StRD13.009
Multiple linear regressionLongleyB3NIST StRD12.869
Multiple linear regressionLongleyB4NIST StRD12.909
Multiple linear regressionLongleyB5NIST StRD11.759
Multiple linear regressionLongleyB6NIST StRD13.189
Linear regression (no intercept)NoInt1B1NIST StRD14.729
Linear regression (no intercept)NoInt2B1NIST StRD15.349
Linear regressionNorrisB0NIST StRD12.779
Linear regressionNorrisB1NIST StRD14.389
Multiple linear regressionPontiusB0NIST StRD11.699
Multiple linear regressionPontiusB1NIST StRD14.569
Multiple linear regressionPontiusB2NIST StRD12.609
Multiple linear regressionWampler1B0NIST StRD9.819
Multiple linear regressionWampler1B1NIST StRD9.439
Multiple linear regressionWampler1B2NIST StRD9.869
Multiple linear regressionWampler1B3NIST StRD10.669
Multiple linear regressionWampler1B4NIST StRD11.849
Multiple linear regressionWampler1B5NIST StRD13.489
Multiple linear regressionWampler2B0NIST StRD14.579
Multiple linear regressionWampler2B1NIST StRD13.079
Multiple linear regressionWampler2B2NIST StRD12.369
Multiple linear regressionWampler2B3NIST StRD12.159
Multiple linear regressionWampler2B4NIST StRD12.359
Multiple linear regressionWampler2B5NIST StRD13.019
Multiple linear regressionWampler3B0NIST StRD9.769
Multiple linear regressionWampler3B1NIST StRD9.329
Multiple linear regressionWampler3B2NIST StRD9.779
Multiple linear regressionWampler3B3NIST StRD10.629
Multiple linear regressionWampler3B4NIST StRD11.829
Multiple linear regressionWampler3B5NIST StRD13.489
Multiple linear regressionWampler4B0NIST StRD9.509
Multiple linear regressionWampler4B1NIST StRD9.409
Multiple linear regressionWampler4B2NIST StRD9.789
Multiple linear regressionWampler4B3NIST StRD10.569
Multiple linear regressionWampler4B4NIST StRD11.749
Multiple linear regressionWampler4B5NIST StRD13.389
Multiple linear regressionWampler5B0NIST StRD9.329
Multiple linear regressionWampler5B1NIST StRD9.069
Multiple linear regressionWampler5B2NIST StRD9.939
Multiple linear regressionWampler5B3NIST StRD10.229
Multiple linear regressionWampler5B4NIST StRD11.299
Multiple linear regressionWampler5B5NIST StRD12.899

NIST StRD — nonlinear least squares

NIST StRD — nonlinear least squares: analysis, dataset, statistic, reference, digits achieved, and target
AnalysisDatasetStatisticReferenceDigitsTarget
Nonlinear least squaresBennett5:start1b1NIST StRD7.776
Nonlinear least squaresBennett5:start1b2NIST StRD8.426
Nonlinear least squaresBennett5:start1b3NIST StRD8.516
Nonlinear least squaresBennett5:start1RSSNIST StRD (IEEE-double data RSS)12.706
Nonlinear least squaresBennett5:start2b1NIST StRD8.686
Nonlinear least squaresBennett5:start2b2NIST StRD9.346
Nonlinear least squaresBennett5:start2b3NIST StRD9.426
Nonlinear least squaresBennett5:start2RSSNIST StRD (IEEE-double data RSS)13.276
Nonlinear least squaresBoxBOD:start1b1NIST StRD9.756
Nonlinear least squaresBoxBOD:start1b2NIST StRD9.106
Nonlinear least squaresBoxBOD:start1RSSNIST StRD (IEEE-double data RSS)15.116
Nonlinear least squaresBoxBOD:start2b1NIST StRD9.876
Nonlinear least squaresBoxBOD:start2b2NIST StRD9.236
Nonlinear least squaresBoxBOD:start2RSSNIST StRD (IEEE-double data RSS)14.816
Nonlinear least squaresChwirut1:start1b1NIST StRD8.646
Nonlinear least squaresChwirut1:start1b2NIST StRD9.236
Nonlinear least squaresChwirut1:start1b3NIST StRD8.946
Nonlinear least squaresChwirut1:start1RSSNIST StRD (IEEE-double data RSS)16.006
Nonlinear least squaresChwirut1:start2b1NIST StRD9.306
Nonlinear least squaresChwirut1:start2b2NIST StRD9.746
Nonlinear least squaresChwirut1:start2b3NIST StRD9.556
Nonlinear least squaresChwirut1:start2RSSNIST StRD (IEEE-double data RSS)15.726
Nonlinear least squaresChwirut2:start1b1NIST StRD12.186
Nonlinear least squaresChwirut2:start1b2NIST StRD11.066
Nonlinear least squaresChwirut2:start1b3NIST StRD10.596
Nonlinear least squaresChwirut2:start1RSSNIST StRD (IEEE-double data RSS)14.966
Nonlinear least squaresChwirut2:start2b1NIST StRD10.026
Nonlinear least squaresChwirut2:start2b2NIST StRD10.336
Nonlinear least squaresChwirut2:start2b3NIST StRD10.526
Nonlinear least squaresChwirut2:start2RSSNIST StRD (IEEE-double data RSS)15.056
Nonlinear least squaresDanWood:start1b1NIST StRD10.766
Nonlinear least squaresDanWood:start1b2NIST StRD10.916
Nonlinear least squaresDanWood:start1RSSNIST StRD (IEEE-double data RSS)13.816
Nonlinear least squaresDanWood:start2b1NIST StRD11.406
Nonlinear least squaresDanWood:start2b2NIST StRD11.326
Nonlinear least squaresDanWood:start2RSSNIST StRD (IEEE-double data RSS)13.936
Nonlinear least squaresEckerle4:start1b1NIST StRD9.216
Nonlinear least squaresEckerle4:start1b2NIST StRD8.946
Nonlinear least squaresEckerle4:start1b3NIST StRD10.126
Nonlinear least squaresEckerle4:start1RSSNIST StRD (IEEE-double data RSS)13.926
Nonlinear least squaresEckerle4:start2b1NIST StRD9.556
Nonlinear least squaresEckerle4:start2b2NIST StRD9.206
Nonlinear least squaresEckerle4:start2b3NIST StRD10.066
Nonlinear least squaresEckerle4:start2RSSNIST StRD (IEEE-double data RSS)13.746
Nonlinear least squaresGauss1:start1b1NIST StRD11.656
Nonlinear least squaresGauss1:start1b2NIST StRD11.906
Nonlinear least squaresGauss1:start1b3NIST StRD11.146
Nonlinear least squaresGauss1:start1b4NIST StRD11.276
Nonlinear least squaresGauss1:start1b5NIST StRD10.716
Nonlinear least squaresGauss1:start1b6NIST StRD11.096
Nonlinear least squaresGauss1:start1b7NIST StRD10.866
Nonlinear least squaresGauss1:start1b8NIST StRD10.696
Nonlinear least squaresGauss1:start1RSSNIST StRD (IEEE-double data RSS)16.006
Nonlinear least squaresGauss1:start2b1NIST StRD11.456
Nonlinear least squaresGauss1:start2b2NIST StRD10.606
Nonlinear least squaresGauss1:start2b3NIST StRD11.526
Nonlinear least squaresGauss1:start2b4NIST StRD11.266
Nonlinear least squaresGauss1:start2b5NIST StRD10.886
Nonlinear least squaresGauss1:start2b6NIST StRD11.626
Nonlinear least squaresGauss1:start2b7NIST StRD10.856
Nonlinear least squaresGauss1:start2b8NIST StRD10.496
Nonlinear least squaresGauss1:start2RSSNIST StRD (IEEE-double data RSS)15.766
Nonlinear least squaresGauss2:start1b1NIST StRD12.006
Nonlinear least squaresGauss2:start1b2NIST StRD10.446
Nonlinear least squaresGauss2:start1b3NIST StRD10.336
Nonlinear least squaresGauss2:start1b4NIST StRD10.406
Nonlinear least squaresGauss2:start1b5NIST StRD10.506
Nonlinear least squaresGauss2:start1b6NIST StRD11.356
Nonlinear least squaresGauss2:start1b7NIST StRD11.236
Nonlinear least squaresGauss2:start1b8NIST StRD10.526
Nonlinear least squaresGauss2:start1RSSNIST StRD (IEEE-double data RSS)15.446
Nonlinear least squaresGauss2:start2b1NIST StRD12.056
Nonlinear least squaresGauss2:start2b2NIST StRD10.466
Nonlinear least squaresGauss2:start2b3NIST StRD10.336
Nonlinear least squaresGauss2:start2b4NIST StRD10.416
Nonlinear least squaresGauss2:start2b5NIST StRD10.586
Nonlinear least squaresGauss2:start2b6NIST StRD11.306
Nonlinear least squaresGauss2:start2b7NIST StRD11.196
Nonlinear least squaresGauss2:start2b8NIST StRD10.576
Nonlinear least squaresGauss2:start2RSSNIST StRD (IEEE-double data RSS)15.746
Nonlinear least squaresGauss3:start1b1NIST StRD11.896
Nonlinear least squaresGauss3:start1b2NIST StRD11.026
Nonlinear least squaresGauss3:start1b3NIST StRD10.776
Nonlinear least squaresGauss3:start1b4NIST StRD10.626
Nonlinear least squaresGauss3:start1b5NIST StRD10.996
Nonlinear least squaresGauss3:start1b6NIST StRD11.116
Nonlinear least squaresGauss3:start1b7NIST StRD10.496
Nonlinear least squaresGauss3:start1b8NIST StRD10.636
Nonlinear least squaresGauss3:start1RSSNIST StRD (IEEE-double data RSS)16.006
Nonlinear least squaresGauss3:start2b1NIST StRD11.846
Nonlinear least squaresGauss3:start2b2NIST StRD11.126
Nonlinear least squaresGauss3:start2b3NIST StRD10.996
Nonlinear least squaresGauss3:start2b4NIST StRD10.706
Nonlinear least squaresGauss3:start2b5NIST StRD10.496
Nonlinear least squaresGauss3:start2b6NIST StRD10.546
Nonlinear least squaresGauss3:start2b7NIST StRD10.546
Nonlinear least squaresGauss3:start2b8NIST StRD10.356
Nonlinear least squaresGauss3:start2RSSNIST StRD (IEEE-double data RSS)15.266
Nonlinear least squaresHahn1:start1b1NIST StRD7.256
Nonlinear least squaresHahn1:start1b2NIST StRD7.426
Nonlinear least squaresHahn1:start1b3NIST StRD7.646
Nonlinear least squaresHahn1:start1b4NIST StRD7.076
Nonlinear least squaresHahn1:start1b5NIST StRD8.226
Nonlinear least squaresHahn1:start1b6NIST StRD7.766
Nonlinear least squaresHahn1:start1b7NIST StRD7.336
Nonlinear least squaresHahn1:start1RSSNIST StRD (IEEE-double data RSS)14.266
Nonlinear least squaresHahn1:start2b1NIST StRD7.756
Nonlinear least squaresHahn1:start2b2NIST StRD7.926
Nonlinear least squaresHahn1:start2b3NIST StRD8.156
Nonlinear least squaresHahn1:start2b4NIST StRD7.586
Nonlinear least squaresHahn1:start2b5NIST StRD8.786
Nonlinear least squaresHahn1:start2b6NIST StRD8.276
Nonlinear least squaresHahn1:start2b7NIST StRD7.846
Nonlinear least squaresHahn1:start2RSSNIST StRD (IEEE-double data RSS)13.876
Nonlinear least squaresKirby2:start1b1NIST StRD7.426
Nonlinear least squaresKirby2:start1b2NIST StRD7.586
Nonlinear least squaresKirby2:start1b3NIST StRD7.836
Nonlinear least squaresKirby2:start1b4NIST StRD7.536
Nonlinear least squaresKirby2:start1b5NIST StRD8.096
Nonlinear least squaresKirby2:start1RSSNIST StRD (IEEE-double data RSS)14.146
Nonlinear least squaresKirby2:start2b1NIST StRD10.986
Nonlinear least squaresKirby2:start2b2NIST StRD10.456
Nonlinear least squaresKirby2:start2b3NIST StRD11.926
Nonlinear least squaresKirby2:start2b4NIST StRD10.866
Nonlinear least squaresKirby2:start2b5NIST StRD10.846
Nonlinear least squaresKirby2:start2RSSNIST StRD (IEEE-double data RSS)14.056
Nonlinear least squaresLanczos1:start1b1NIST StRD11.326
Nonlinear least squaresLanczos1:start1b2NIST StRD10.566
Nonlinear least squaresLanczos1:start1b3NIST StRD11.286
Nonlinear least squaresLanczos1:start1b4NIST StRD10.946
Nonlinear least squaresLanczos1:start1b5NIST StRD10.616
Nonlinear least squaresLanczos1:start1b6NIST StRD11.636
Nonlinear least squaresLanczos1:start1RSSNIST StRD (IEEE-double data RSS)6.686
Nonlinear least squaresLanczos1:start2b1NIST StRD11.386
Nonlinear least squaresLanczos1:start2b2NIST StRD10.566
Nonlinear least squaresLanczos1:start2b3NIST StRD11.306
Nonlinear least squaresLanczos1:start2b4NIST StRD10.946
Nonlinear least squaresLanczos1:start2b5NIST StRD10.616
Nonlinear least squaresLanczos1:start2b6NIST StRD11.646
Nonlinear least squaresLanczos1:start2RSSNIST StRD (IEEE-double data RSS)6.796
Nonlinear least squaresLanczos2:start1b1NIST StRD9.166
Nonlinear least squaresLanczos2:start1b2NIST StRD9.536
Nonlinear least squaresLanczos2:start1b3NIST StRD9.736
Nonlinear least squaresLanczos2:start1b4NIST StRD9.886
Nonlinear least squaresLanczos2:start1b5NIST StRD9.786
Nonlinear least squaresLanczos2:start1b6NIST StRD10.636
Nonlinear least squaresLanczos2:start1RSSNIST StRD (IEEE-double data RSS)15.246
Nonlinear least squaresLanczos2:start2b1NIST StRD8.626
Nonlinear least squaresLanczos2:start2b2NIST StRD8.926
Nonlinear least squaresLanczos2:start2b3NIST StRD9.176
Nonlinear least squaresLanczos2:start2b4NIST StRD9.326
Nonlinear least squaresLanczos2:start2b5NIST StRD9.296
Nonlinear least squaresLanczos2:start2b6NIST StRD10.016
Nonlinear least squaresLanczos2:start2RSSNIST StRD (IEEE-double data RSS)14.186
Nonlinear least squaresLanczos3:start1b1NIST StRD7.166
Nonlinear least squaresLanczos3:start1b2NIST StRD7.456
Nonlinear least squaresLanczos3:start1b3NIST StRD7.776
Nonlinear least squaresLanczos3:start1b4NIST StRD7.906
Nonlinear least squaresLanczos3:start1b5NIST StRD7.906
Nonlinear least squaresLanczos3:start1b6NIST StRD8.626
Nonlinear least squaresLanczos3:start1RSSNIST StRD (IEEE-double data RSS)14.186
Nonlinear least squaresLanczos3:start2b1NIST StRD7.676
Nonlinear least squaresLanczos3:start2b2NIST StRD7.956
Nonlinear least squaresLanczos3:start2b3NIST StRD8.296
Nonlinear least squaresLanczos3:start2b4NIST StRD8.406
Nonlinear least squaresLanczos3:start2b5NIST StRD8.406
Nonlinear least squaresLanczos3:start2b6NIST StRD9.146
Nonlinear least squaresLanczos3:start2RSSNIST StRD (IEEE-double data RSS)15.216
Nonlinear least squaresMGH09:start1b1NIST StRD8.806
Nonlinear least squaresMGH09:start1b2NIST StRD7.456
Nonlinear least squaresMGH09:start1b3NIST StRD7.996
Nonlinear least squaresMGH09:start1b4NIST StRD7.636
Nonlinear least squaresMGH09:start1RSSNIST StRD (IEEE-double data RSS)14.616
Nonlinear least squaresMGH09:start2b1NIST StRD9.186
Nonlinear least squaresMGH09:start2b2NIST StRD7.826
Nonlinear least squaresMGH09:start2b3NIST StRD8.366
Nonlinear least squaresMGH09:start2b4NIST StRD8.016
Nonlinear least squaresMGH09:start2RSSNIST StRD (IEEE-double data RSS)14.396
Nonlinear least squaresMGH10:start1b1NIST StRD9.166
Nonlinear least squaresMGH10:start1b2NIST StRD10.026
Nonlinear least squaresMGH10:start1b3NIST StRD10.366
Nonlinear least squaresMGH10:start1RSSNIST StRD (IEEE-double data RSS)11.466
Nonlinear least squaresMGH10:start2b1NIST StRD10.346
Nonlinear least squaresMGH10:start2b2NIST StRD11.116
Nonlinear least squaresMGH10:start2b3NIST StRD11.066
Nonlinear least squaresMGH10:start2RSSNIST StRD (IEEE-double data RSS)11.446
Nonlinear least squaresMGH17:start1b1NIST StRD8.766
Nonlinear least squaresMGH17:start1b2NIST StRD7.406
Nonlinear least squaresMGH17:start1b3NIST StRD7.276
Nonlinear least squaresMGH17:start1b4NIST StRD7.916
Nonlinear least squaresMGH17:start1b5NIST StRD7.856
Nonlinear least squaresMGH17:start1RSSNIST StRD (IEEE-double data RSS)13.466
Nonlinear least squaresMGH17:start2b1NIST StRD9.796
Nonlinear least squaresMGH17:start2b2NIST StRD8.456
Nonlinear least squaresMGH17:start2b3NIST StRD8.336
Nonlinear least squaresMGH17:start2b4NIST StRD8.976
Nonlinear least squaresMGH17:start2b5NIST StRD8.916
Nonlinear least squaresMGH17:start2RSSNIST StRD (IEEE-double data RSS)13.166
Nonlinear least squaresMisra1a:start1b1NIST StRD9.286
Nonlinear least squaresMisra1a:start1b2NIST StRD9.206
Nonlinear least squaresMisra1a:start1RSSNIST StRD (IEEE-double data RSS)13.006
Nonlinear least squaresMisra1a:start2b1NIST StRD10.956
Nonlinear least squaresMisra1a:start2b2NIST StRD13.286
Nonlinear least squaresMisra1a:start2RSSNIST StRD (IEEE-double data RSS)12.976
Nonlinear least squaresNelson:start1b1NIST StRD9.126
Nonlinear least squaresNelson:start1b2NIST StRD6.616
Nonlinear least squaresNelson:start1b3NIST StRD7.816
Nonlinear least squaresNelson:start1RSSNIST StRD (IEEE-double data RSS)15.636
Nonlinear least squaresNelson:start2b1NIST StRD10.856
Nonlinear least squaresNelson:start2b2NIST StRD10.006
Nonlinear least squaresNelson:start2b3NIST StRD11.716
Nonlinear least squaresNelson:start2RSSNIST StRD (IEEE-double data RSS)15.936
Nonlinear least squaresRat42:start1b1NIST StRD9.046
Nonlinear least squaresRat42:start1b2NIST StRD9.186
Nonlinear least squaresRat42:start1b3NIST StRD8.756
Nonlinear least squaresRat42:start1RSSNIST StRD (IEEE-double data RSS)14.266
Nonlinear least squaresRat42:start2b1NIST StRD11.366
Nonlinear least squaresRat42:start2b2NIST StRD12.686
Nonlinear least squaresRat42:start2b3NIST StRD11.456
Nonlinear least squaresRat42:start2RSSNIST StRD (IEEE-double data RSS)14.456
Nonlinear least squaresRat43:start1b1NIST StRD10.416
Nonlinear least squaresRat43:start1b2NIST StRD8.806
Nonlinear least squaresRat43:start1b3NIST StRD9.016
Nonlinear least squaresRat43:start1b4NIST StRD8.656
Nonlinear least squaresRat43:start1RSSNIST StRD (IEEE-double data RSS)15.386
Nonlinear least squaresRat43:start2b1NIST StRD10.416
Nonlinear least squaresRat43:start2b2NIST StRD8.836
Nonlinear least squaresRat43:start2b3NIST StRD9.046
Nonlinear least squaresRat43:start2b4NIST StRD8.686
Nonlinear least squaresRat43:start2RSSNIST StRD (IEEE-double data RSS)14.546
Nonlinear least squaresThurber:start1b1NIST StRD9.566
Nonlinear least squaresThurber:start1b2NIST StRD8.236
Nonlinear least squaresThurber:start1b3NIST StRD7.946
Nonlinear least squaresThurber:start1b4NIST StRD7.786
Nonlinear least squaresThurber:start1b5NIST StRD8.076
Nonlinear least squaresThurber:start1b6NIST StRD8.046
Nonlinear least squaresThurber:start1b7NIST StRD8.076
Nonlinear least squaresThurber:start1RSSNIST StRD (IEEE-double data RSS)13.946
Nonlinear least squaresThurber:start2b1NIST StRD9.336
Nonlinear least squaresThurber:start2b2NIST StRD8.086
Nonlinear least squaresThurber:start2b3NIST StRD7.806
Nonlinear least squaresThurber:start2b4NIST StRD7.636
Nonlinear least squaresThurber:start2b5NIST StRD7.926
Nonlinear least squaresThurber:start2b6NIST StRD7.896
Nonlinear least squaresThurber:start2b7NIST StRD7.936
Nonlinear least squaresThurber:start2RSSNIST StRD (IEEE-double data RSS)13.936

R goldens

R goldens: analysis, dataset, statistic, reference, digits achieved, and target
AnalysisDatasetStatisticReferenceDigitsTarget
Welch t-testclassicPR 4.4.2 (scripts/goldens/generate_n1_39.R)15.758
Welch t-testclassictR 4.4.2 (scripts/goldens/generate_n1_39.R)16.0010
Student t-testclassicPR 4.4.2 (scripts/goldens/generate_n1_39.R)15.458
Paired t-testclassicPR 4.4.2 (scripts/goldens/generate_n1_39.R)15.388
Mann–Whitney UclassicPR 4.4.2 (scripts/goldens/generate_n1_39.R)16.008
Wilcoxon signed-rankclassicPR 4.4.2 (scripts/goldens/generate_n1_39.R)15.058
Fisher exact 2×2classicPR 4.4.2 (scripts/goldens/generate_n1_39.R)14.348
Chi-squareclassicPR 4.4.2 (scripts/goldens/generate_n1_39.R)15.098
Chi-squareclassicχ²R 4.4.2 (scripts/goldens/generate_n1_39.R)16.0010
Tukey HSDB-APR 4.4.2 (scripts/goldens/generate_n1_39.R)13.038
Tukey HSDC-APR 4.4.2 (scripts/goldens/generate_n1_39.R)8.028
Tukey HSDC-BPR 4.4.2 (scripts/goldens/generate_n1_39.R)10.018
Holm–Šídák0PR 4.4.2 (scripts/goldens/generate_n1_39.R)16.008
Holm–Šídák1PR 4.4.2 (scripts/goldens/generate_n1_39.R)16.008
Holm–Šídák2PR 4.4.2 (scripts/goldens/generate_n1_39.R)16.008
Holm–Šídák3PR 4.4.2 (scripts/goldens/generate_n1_39.R)16.008
Dunn post-hocA-BPR 4.4.2 (scripts/goldens/generate_n1_39.R)16.008
Dunn post-hocA-BzR 4.4.2 (scripts/goldens/generate_n1_39.R)16.0010
Dunn post-hocA-CPR 4.4.2 (scripts/goldens/generate_n1_39.R)16.008
Dunn post-hocA-CzR 4.4.2 (scripts/goldens/generate_n1_39.R)16.0010
Dunn post-hocB-CPR 4.4.2 (scripts/goldens/generate_n1_39.R)15.448
Dunn post-hocB-CzR 4.4.2 (scripts/goldens/generate_n1_39.R)16.0010
Kaplan–Meiert=1S(t)R 4.4.2 (scripts/goldens/generate_n1_39.R)16.0010
Kaplan–Meiert=2S(t)R 4.4.2 (scripts/goldens/generate_n1_39.R)16.0010
Kaplan–Meiert=3S(t)R 4.4.2 (scripts/goldens/generate_n1_39.R)16.0010
Kaplan–Meiert=4S(t)R 4.4.2 (scripts/goldens/generate_n1_39.R)16.0010
Log-rankclassicPR 4.4.2 (scripts/goldens/generate_n1_39.R)14.748
Log-rankclassicχ²R 4.4.2 (scripts/goldens/generate_n1_39.R)16.0010

SciPy / statsmodels goldens

SciPy / statsmodels goldens: analysis, dataset, statistic, reference, digits achieved, and target
AnalysisDatasetStatisticReferenceDigitsTarget
Welch t-testclassicPSciPy 1.14.1 / statsmodels 0.14.415.758
Paired t-testclassicPSciPy 1.14.1 / statsmodels 0.14.416.008
Mann–Whitney U (tied)classicPSciPy 1.14.1 / statsmodels 0.14.415.868
Mann–Whitney U (tied)classicUSciPy 1.14.1 / statsmodels 0.14.416.0010
Wilcoxon signed-rank (tied)classicPSciPy 1.14.1 / statsmodels 0.14.414.758
Wilcoxon signed-rank (tied)classicWSciPy 1.14.1 / statsmodels 0.14.416.0010
Fisher exact 2×2classicPSciPy 1.14.1 / statsmodels 0.14.414.658
Chi-squareclassicPSciPy 1.14.1 / statsmodels 0.14.415.398
Shapiro–WilkclassicPSciPy 1.14.1 / statsmodels 0.14.49.258

lifelines — KM / log-rank / Cox

lifelines — KM / log-rank / Cox: analysis, dataset, statistic, reference, digits achieved, and target
AnalysisDatasetStatisticReferenceDigitsTarget
Kaplan–Meier0:t=1S(t)lifelines 0.30.3 (CamDavidsonPilon/lifelines)15.8310
Kaplan–Meier0:t=1CI lowlifelines 0.30.3 (CamDavidsonPilon/lifelines)15.0610
Kaplan–Meier0:t=1CI highlifelines 0.30.3 (CamDavidsonPilon/lifelines)15.9410
Kaplan–Meier0:t=2S(t)lifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Kaplan–Meier0:t=2CI lowlifelines 0.30.3 (CamDavidsonPilon/lifelines)15.3210
Kaplan–Meier0:t=2CI highlifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Kaplan–Meier0:t=3S(t)lifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Kaplan–Meier0:t=3CI lowlifelines 0.30.3 (CamDavidsonPilon/lifelines)15.3210
Kaplan–Meier0:t=3CI highlifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Kaplan–Meier0:t=4S(t)lifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Kaplan–Meier0:t=4CI lowlifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Kaplan–Meier0:t=4CI highlifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Kaplan–Meier1:t=5S(t)lifelines 0.30.3 (CamDavidsonPilon/lifelines)15.8310
Kaplan–Meier1:t=5CI lowlifelines 0.30.3 (CamDavidsonPilon/lifelines)15.0610
Kaplan–Meier1:t=5CI highlifelines 0.30.3 (CamDavidsonPilon/lifelines)15.9410
Kaplan–Meier1:t=6S(t)lifelines 0.30.3 (CamDavidsonPilon/lifelines)15.8310
Kaplan–Meier1:t=6CI lowlifelines 0.30.3 (CamDavidsonPilon/lifelines)15.0610
Kaplan–Meier1:t=6CI highlifelines 0.30.3 (CamDavidsonPilon/lifelines)15.9410
Kaplan–Meier1:t=7S(t)lifelines 0.30.3 (CamDavidsonPilon/lifelines)15.8310
Kaplan–Meier1:t=7CI lowlifelines 0.30.3 (CamDavidsonPilon/lifelines)14.7610
Kaplan–Meier1:t=7CI highlifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Kaplan–Meier1:t=8S(t)lifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Kaplan–Meier1:t=8CI lowlifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Kaplan–Meier1:t=8CI highlifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Log-rankclassicχ²lifelines 0.30.3 (CamDavidsonPilon/lifelines)16.0010
Log-rankclassicPlifelines 0.30.3 (CamDavidsonPilon/lifelines)15.008
Cox PH (Efron)classiccoeflifelines 0.30.3 (CamDavidsonPilon/lifelines)7.186
Cox PH (Efron)classicSElifelines 0.30.3 (CamDavidsonPilon/lifelines)8.376
Cox PH (Efron)classicHRlifelines 0.30.3 (CamDavidsonPilon/lifelines)7.276
Cox PH (Efron)classiczlifelines 0.30.3 (CamDavidsonPilon/lifelines)7.216
Cox PH (Efron)classicPlifelines 0.30.3 (CamDavidsonPilon/lifelines)6.816
Cox PH (Efron)classiclog partial liklifelines 0.30.3 (CamDavidsonPilon/lifelines)15.906

scikit-posthocs — Dunn / Games–Howell

scikit-posthocs — Dunn / Games–Howell: analysis, dataset, statistic, reference, digits achieved, and target
AnalysisDatasetStatisticReferenceDigitsTarget
Dunn post-hocA-BP rawscikit-posthocs 0.17.016.0010
Dunn post-hocA-CP rawscikit-posthocs 0.17.015.5210
Dunn post-hocB-CP rawscikit-posthocs 0.17.015.2710
Dunn post-hocA-BP Bonferroniscikit-posthocs 0.17.016.0010
Dunn post-hocA-CP Bonferroniscikit-posthocs 0.17.015.7010
Dunn post-hocB-CP Bonferroniscikit-posthocs 0.17.015.2210
Games–HowellA-BP adjscikit-posthocs 0.17.09.856
Games–HowellA-CP adjscikit-posthocs 0.17.07.136
Games–HowellB-CP adjscikit-posthocs 0.17.06.876
Conover post-hocA-BP rawscikit-posthocs 0.17.015.4310
Conover post-hocA-CP rawscikit-posthocs 0.17.015.0110
Conover post-hocB-CP rawscikit-posthocs 0.17.015.1510
Nemenyi post-hocA-BP adjscikit-posthocs 0.17.015.5610
Nemenyi post-hocA-CP adjscikit-posthocs 0.17.015.8310
Nemenyi post-hocB-CP adjscikit-posthocs 0.17.016.0010
Dunnett T3 (all-pairs)A-BP adjscikit-posthocs 0.17.016.0010
Dunnett T3 (all-pairs)A-CP adjscikit-posthocs 0.17.012.6110
Dunnett T3 (all-pairs)B-CP adjscikit-posthocs 0.17.016.0010

lmfit — 4PL dose-response

lmfit — 4PL dose-response: analysis, dataset, statistic, reference, digits achieved, and target
AnalysisDatasetStatisticReferenceDigitsTarget
4PL (log agonist)classicBottomlmfit 1.3.4 / curve_curator@71e46f76.552
4PL (log agonist)classicToplmfit 1.3.4 / curve_curator@71e46f78.432
4PL (log agonist)classicLogEC50lmfit 1.3.4 / curve_curator@71e46f76.372
4PL (log agonist)classicHillSlopelmfit 1.3.4 / curve_curator@71e46f77.472
4PL (log agonist)classicSSlmfit 1.3.4 / curve_curator@71e46f711.722
4PL (log agonist)classicLogEC50 (curve_curator)lmfit 1.3.4 / curve_curator@71e46f74.142

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