Title: Nonparametric Confidence Intervals for Ratios
Description: Implementation of the method described in "Exact Nonparametric
Confidence Intervals for the Ratio of Medians" by T. Hothorn and U. Munzel

Title: nonparametric confidence intervals for ratios
Confidence Intervals for the Ratio of Medians"

Title: Exact Nonparametric Hypothesis Tests for the Mean, Variance and
person(given = "Oliver", family = "Reiter",
person(given = "Karl", family = "Schlag",
person(given = "Peter", family = "Saffert", role = "ctb"),
person(given = "Christian", family = "Pechhacker", role = "ctb"),
person(given = "Simona", family = "Jokubauskaite", role = "ctb"),
person(given = "Tautvilas", family = "Janusauskas", role = "ctb"))
Description: 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.
Author: Oliver Reiter [cre, aut] (<https://orcid.org/0000-0001-6338-5428>),

Title: Nonparametric Rank Test for Interaction in Factorial Designs
Description: Noparametric interaction tests on data set in 'wide' format with repeated measures. Choice between 1) Aligend Regular ranks, 2) Friedman ranks , and Koch ranks

Title: Nonparametric Interaction Tests for Factorial Designs with
Description: Nonparametric aligned rank tests for interaction in two-way factorial designs, on data set with repeated measures in 'wide' format. There is a choice between three types of aligned ranks for the tests: (1) REGULAR, (2) FRIEDMAN, and (3) KOCH ranks.

Description: Nonparametric aligned rank tests for interaction in two-way factorial designs, on data set with repeated measures in 'wide' format. There is a choice between 0) CHECK for alignment 1) Aligned REGULAR 2) FRIEDMAN 3) KOCH ranks.