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npExact  

Exact Nonparametric Hypothesis Tests for the Mean, Variance and Stochastic Inequality
View on CRAN: Click here


Download and install npExact package within the R console
Install from CRAN:
install.packages("npExact")

Install from Github:
library("remotes")
install_github("cran/npExact")

Install by package version:
library("remotes")
install_version("npExact", "0.2")



Attach the package and use:
library("npExact")
Maintained by
Oliver Reiter
[Scholar Profile | Author Map]
First Published: 2018-12-03
Latest Update: 2018-12-03
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.
How to cite:
Oliver Reiter (2018). npExact: Exact Nonparametric Hypothesis Tests for the Mean, Variance and Stochastic Inequality. R package version 0.2, https://cran.r-project.org/web/packages/npExact. Accessed 30 Apr. 2025.
Previous versions and publish date:
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Complete documentation for npExact
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