Package-level declarations
Types
Specifies the direction of the alternative hypothesis in a statistical test.
The result of an iterative Grubbs' test for multiple outlier detection.
Specifies which center statistic to use when computing deviations in leveneTest.
The result of a risk or association measure computed from a 2×2 contingency table.
The result of a statistical hypothesis test.
Functions
Performs the Anderson-Darling test for normality.
Performs Bartlett's test for equality of variances across two or more groups.
Adjusts p-values using the Benjamini-Hochberg procedure for false discovery rate control.
Performs an exact binomial test for whether the proportion of successes equals probability.
Adjusts p-values using the Bonferroni correction for multiple comparisons.
Performs a chi-squared test of independence for a contingency table.
Performs a chi-squared goodness-of-fit test.
Computes Cohen's d effect size for the standardized mean difference between two groups.
Performs the D'Agostino-Pearson omnibus normality test.
Performs Fisher's exact test for a 2x2 contingency table.
Performs the Fligner-Killeen test for equality of variances across two or more groups.
Performs the Friedman test for differences among repeated measures.
Performs a G-test (log-likelihood ratio test) of independence for a contingency table.
Performs Grubbs' test for detecting a single outlier in a univariate dataset.
Performs iterative Grubbs' test to detect multiple outliers.
Performs a G-test (log-likelihood ratio test) for goodness-of-fit.
Computes Hedges' g effect size, a bias-corrected version of Cohen's d for small samples.
Adjusts p-values using the Holm-Bonferroni step-down correction for multiple comparisons.
Performs the Jarque-Bera goodness-of-fit test for normality.
Performs a two-sample Kolmogorov-Smirnov test.
Performs a one-sample Kolmogorov-Smirnov test against a reference distribution.
Performs Levene's test for equality of variances across two or more groups.
Performs the Mann-Whitney U test (also known as the Wilcoxon rank-sum test).
Performs a one-way analysis of variance (ANOVA) test.
Performs a paired t-test for whether the mean difference between matched observations is zero.
Performs a one-sample proportion z-test for whether the true proportion equals p0.
Performs a two-sample proportion z-test for whether two populations have the same proportion.
Computes the minimum detectable effect size (MDE) for a proportion z-test at the given sample size.
Computes the statistical power of a proportion z-test using the normal approximation.
Computes the minimum sample size needed for a proportion z-test to achieve the desired power.
Computes the relative risk with a log-based confidence interval for a 2×2 contingency table.
Performs the Shapiro-Wilk test for normality.
Performs a one-sample t-test for whether the population mean equals mu.
Performs a two-sample t-test for whether two populations have the same mean.
Computes the minimum detectable effect size (MDE) for a t-test at the given sample size.
Computes the statistical power of a t-test using the normal approximation.
Computes the minimum sample size needed for a t-test to achieve the desired power.
Performs the Wilcoxon signed-rank test.