Package: nptest 1.1

Nathaniel E. Helwig

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.

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

nptest_1.1.tar.gz
nptest_1.1.tar.gz(r-4.5-noble)nptest_1.1.tar.gz(r-4.4-noble)
nptest_1.1.tgz(r-4.4-emscripten)nptest_1.1.tgz(r-4.3-emscripten)
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nptest/json (API)

# Install 'nptest' in R:
install.packages('nptest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.78 score 2 packages 434 downloads 40 exports 0 dependencies

Last updated 2 years agofrom:f471e4e4ac. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 29 2025
R-4.5-linuxNOTEJan 29 2025

Exports:flipnmcsenp.bootnp.cor.testnp.loc.testnp.reg.testnptestStartupMessagepermnplot.np.cor.testplot.np.loc.testplot.np.reg.testprint.mcseprint.np.bootprint.np.cor.testprint.np.loc.testprint.np.reg.testpsdinvrand.test.corrand.test.lm1rand.test.lm2rand.test.onerand.test.twoTperm.corTperm.lm1Tperm.lm1.mvTperm.lm2Tperm.lm2.mvTperm.oneTperm.one.mvTperm.twoTperm.two.mvTstat.corTstat.lm1Tstat.lm1.mvTstat.lm2Tstat.lm2.mvTstat.oneTstat.one.mvTstat.twoTstat.two.mv

Dependencies: