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.

40 exports 0.61 score 0 dependencies 2 dependents 15 scripts 592 downloads

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

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-linuxNOTESep 05 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: