nptest: Nonparametric Bootstrap and Permutation Tests

Robust nonparametric bootstrap and permutation tests for 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.

Version: 1.0-2
Depends: parallel
Published: 2020-10-01
Author: Nathaniel E. Helwig
Maintainer: Nathaniel E. Helwig <helwig at umn.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: nptest results

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Reference manual: nptest.pdf
Package source: nptest_1.0-2.tar.gz
Windows binaries: r-devel: nptest_1.0-2.zip, r-release: nptest_1.0-2.zip, r-oldrel: nptest_1.0-2.zip
macOS binaries: r-release: nptest_1.0-2.tgz, r-oldrel: nptest_1.0-2.tgz
Old sources: nptest archive

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