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)
nptest.pdf |nptest.html
nptest/json (API)

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

Peer review:

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

2.06 score 2 packages 19 scripts 442 downloads 40 exports 0 dependencies

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

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxNOTEOct 31 2024

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: