import { logit } from "https://deno.land/x/simplestatistics@v7.7.5/index.js";
The Logit is the inverse of cumulativeStdLogisticProbability, and is also known as the logistic quantile function.
benchmarksscriptssrctestbayesianBayesianClassifierperceptronPerceptronModelchiSquaredDistributionTableepsilonstandardNormalTableaddToMeanapproxEqualaverageaverageSimplebernoulliDistributionbinomialDistributionbisectchiSquaredGoodnessOfFitchunkckmeanscoefficientOfVariationcombinationscombinationsReplacementcombineMeanscombineVariancescumulativeStdLogisticProbabilitycumulativeStdNormalProbabilityequalIntervalBreakserferrorFunctionextentextentSortedfactorialgammagammalngeometricMeanharmonicMeaninterquartileRangeinverseErrorFunctioniqrkdekernelDensityEstimationkMeansClusterlinearRegressionlinearRegressionLinelogAveragelogitmadmaxmaxSortedmeanmeanSimplemedianmedianAbsoluteDeviationmedianSortedminminSortedmodemodeFastmodeSortednumericSortpermutationsHeappermutationTestpoissonDistributionprobitproductquantilequantileRankquantileRankSortedquantileSortedquickselectrelativeErrorrmsrootMeanSquarerSquaredsamplesampleCorrelationsampleCovariancesampleKurtosissampleRankCorrelationsampleSkewnesssampleStandardDeviationsampleVariancesampleWithReplacementshuffleshuffleInPlacesignsilhouettesilhouetteMetricstandardDeviationsubtractFromMeansumsumNthPowerDeviationssumSimpletTesttTestTwoSampleuniqueCountSortedvariancewilcoxonRankSumzScore
index.js (default module)
c
c
c
c
v
v
v
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f
f