Nonparametric Bootstrap and Permutation Tests

Robust nonparametric bootstrap and permutation tests for location, correlation, and regression problems, as described in Helwig (2019a) and Helwig (2019b) . 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.


Reference manual

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1.0-3 by Nathaniel E. Helwig, 7 months ago

Browse source code at

Authors: Nathaniel E. Helwig <[email protected]>

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on parallel

See at CRAN