'R6'-Based Flexible Framework for Permutation Tests
Two-Sample Anderson-Darling Test
Ansari-Bradley Test
Inference on Cumulative Distribution Function
Chi-Square Test on Contingency Table
ContingencyTableTest Class
Test for Association Between Paired Samples
Two-Sample Cramer-Von Mises Test
Two-Sample Test Based on Mean or Median
Friedman Test
Jonckheere-Terpstra Test
Two-Sample Kolmogorov-Smirnov Test
Kruskal-Wallis Test
KSampleTest Class
Two-Sample Kuiper Test
MultipleComparison Class
OneSampleTest Class
One-Way Test for Equal Means
Page Test
Paired Comparison Based on Differences
PermuTest Class
Syntactic Sugar for Object Construction
Quantile Test
Ratio Mean Deviance Test
One-Way Test for Equal Means in RCBD
RCBDTest Class
Siegel-Tukey Test
Two-Sample Sign Test
Multiple Comparison Based on Studentized Statistic
TwoSampleAssociationTest Class
TwoSampleDistributionTest Class
TwoSampleLocationTest Class
TwoSamplePairedTest Class
TwoSampleTest Class
Two-Sample Wilcoxon Test
Implements non-parametric tests from Higgins (2004, ISBN:0534387756), including tests for one sample, two samples, k samples, paired comparisons, blocked designs, trends and association. Built with 'Rcpp' for efficiency and 'R6' for flexible, object-oriented design, the package provides a unified framework for performing or creating custom permutation tests.
Useful links