The EnvStats functions listed below are useful for performing hypothesis tests not already built into R. See Power and Sample Size Calculations for a list of functions you can use to perform power and sample size calculations based on various hypothesis tests.
For goodness-of-fit tests, see Goodness-of-Fit Tests.
| Function Name | Description | 
| chenTTest | Chen's modified one-sided t-test for skewed | 
| distributions. | |
| kendallTrendTest | Nonparametric test for monotonic trend | 
| based on Kendall's tau statistic (and | |
| optional confidence interval for slope). | |
| kendallSeasonalTrendTest | Nonparametric test for monotonic trend | 
| within each season based on Kendall's tau | |
| statistic (and optional confidence interval | |
| for slope). | |
| oneSamplePermutationTest | Fisher's one-sample randomization | 
| (permutation) test for location. | |
| quantileTest | Two-sample rank test to detect a shift in | 
| a proportion of the “treated” population. | |
| quantileTestPValue | Compute p-value associated with a specified | 
| combination of \(m\), \(n\), \(r\) and \(k\) | |
| for the quantile test. | |
| Useful for determining \(r\) and \(k\) for a | |
| given significance level \(\alpha\). | |
| serialCorrelationTest | Test for the presence of serial correlation. | 
| signTest | One- or paired-sample sign test on the | 
| median. | |
| twoSampleLinearRankTest | Two-sample linear rank test to detect a | 
| shift in the “treated” population. | |
| twoSamplePermutationTestLocation | Two-sample or paired-sample randomization | 
| (permutation) test for location. | |
| twoSamplePermutationTestProportion | Randomization (permutation) test to compare | 
| two proportions (Fisher's exact test). | |
| varTest | One-sample test on variance or two-sample | 
| test to compare variances. | |
| varGroupTest | Test for homogeneity of variance among two | 
| or more groups. | |
| zTestGevdShape | Estimate the shape parameter of a | 
| Generalized Extreme Value distribution and | |
| test the null hypothesis that the true | |
| value is equal to 0. |