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robnptests  

Robust Nonparametric Two-Sample Tests for Location/Scale
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("robnptests", "1.1.0")



Attach the package and use:
library("robnptests")
Maintained by
Sermad Abbas
[Scholar Profile | Author Map]
First Published: 2021-11-08
Latest Update: 2023-02-13
Description:
Implementations of several robust nonparametric two-sample tests for location or scale differences. The test statistics are based on robust location and scale estimators, e.g. the sample median or the Hodges-Lehmann estimators as described in Fried & Dehling (2011) . The p-values can be computed via the permutation principle, the randomization principle, or by using the asymptotic distributions of the test statistics under the null hypothesis, which ensures (approximate) distribution independence of the test decision. To test for a difference in scale, we apply the tests for location difference to transformed observations; see Fried (2012) . Random noise on a small range can be added to the original observations in order to hold the significance level on data from discrete distributions. The location tests assume homoscedasticity and the scale tests require the location parameters to be zero.
How to cite:
Sermad Abbas (2021). robnptests: Robust Nonparametric Two-Sample Tests for Location/Scale. R package version 1.1.0, https://cran.r-project.org/web/packages/robnptests. Accessed 03 Apr. 2025.
Previous versions and publish date:
1.0.0 (2021-11-08 16:40)
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Complete documentation for robnptests
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