npExact: Exact Nonparametric Hypothesis Tests for the Mean, Variance and Stochastic Inequality

Provides several novel exact hypothesis tests with minimal assumptions on the errors. The tests are exact, meaning that their p-values are correct for the given sample sizes (the p-values are not derived from asymptotic analysis). The test for stochastic inequality is for ordinal comparisons based on two independent samples and requires no assumptions on the errors. The other tests include tests for the mean and variance of a single sample and comparing means in independent samples. All these tests only require that the data has known bounds (such as percentages that lie in [0,100]. These bounds are part of the input.

Version:	0.2
Depends:	R (≥ 3.2)
Imports:	stats
Suggests:	testthat
Published:	2018-12-03
Author:	Oliver Reiter [cre, aut], Karl Schlag [aut], Peter Saffert [ctb], Christian Pechhacker [ctb], Simona Jokubauskaite [ctb], Tautvilas Janusauskas [ctb]
Maintainer:	Oliver Reiter <oliver.reiter at snapdragon.cc>
BugReports:	https://github.com/zauster/npExact/issues
License:	GPL-2
URL:	https://github.com/zauster/npExact
NeedsCompilation:	no
Materials:	README
CRAN checks:	npExact results

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