Nonparametric Bootstrap and Permutation Tests
Generate All Sign-Flips of n Elements
Monte Carlo Standard Errors for Tests
Nonparametric One-Way and RM ANOVA Tests
Nonparametric Bootstrap Resampling
Nonparametric Distribution Tests
Nonparametric Tests of Correlation Coefficients
Nonparametric Tests of Linear Model Terms
Nonparametric Tests of Location Parameters
Nonparametric Tests of Regression Coefficients
Internal 'nptest' Functions
Generate All Permutations of n Elements
Plots Permutation Distribution for Nonparametric Tests
Startup Message for nptest
Robust nonparametric bootstrap and permutation tests for goodness of fit, distribution equivalence, location, correlation, and regression problems, as described in Helwig (2019a) <doi:10.1002/wics.1457> and Helwig (2019b) <doi:10.1016/j.neuroimage.2019.116030>. Univariate and multivariate tests are supported. For each problem, exact tests and Monte Carlo approximations are available. Five different nonparametric bootstrap confidence intervals are implemented. Parallel computing is implemented via the 'parallel' package.