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Auto-generated module
🤖 Generated with SplitRS
Functions§
- anderson_
darling_ py - Anderson-Darling test for normality.
- bartlett_
test_ py - Bartlett’s test for homogeneity of variance.
- brown_
forsythe_ py - Brown-Forsythe test for homogeneity of variance.
- chisquare_
py - Chi-square goodness-of-fit test
- covariance_
simd_ py - Compute SIMD-optimized covariance
- dagostino_
k2_ py - D’Agostino’s K-squared test for normality.
- deciles_
py - Compute deciles (10th, 20th, …, 90th percentiles) of a dataset
- f_
oneway_ py - One-way ANOVA (Analysis of Variance)
- kruskal_
py - Kruskal-Wallis H-test for independent samples.
- kurtosis_
simd_ py - Compute SIMD-optimized kurtosis (fourth standardized moment)
- levene_
py - Levene’s test for homogeneity of variance.
- mannwhitneyu_
py - Mann-Whitney U test for independent samples.
- mean_
simd_ py - Compute SIMD-optimized mean
- moment_
simd_ py - Compute SIMD-optimized nth statistical moment
- pearson_
r_ simd_ py - Compute SIMD-optimized Pearson correlation coefficient
- percentile_
range_ py - Compute the range between two percentiles
- sem_py
- Compute standard error of the mean (SEM)
- shapiro_
py - Shapiro-Wilk test for normality
- skewness_
simd_ py - Compute SIMD-optimized skewness (third standardized moment)
- std_
simd_ py - Compute SIMD-optimized standard deviation
- variance_
simd_ py - Compute SIMD-optimized variance
- wilcoxon_
py - Wilcoxon signed-rank test for paired samples.