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robusTest  

Calibrated Correlation and Two-Sample Tests
View on CRAN: Click here


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

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

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



Attach the package and use:
library("robusTest")
Maintained by
Olivier Bouaziz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-16
Latest Update: 2022-12-15
Description:
Implementation of corrected two-sample tests. A corrected version of the Pearson and Kendall correlation tests, the Mann-Whitney (Wilcoxon) rank sum test, the Wilcoxon signed rank test and a variance test are implemented. The package also proposes a test for the median and an independence test between two continuous variables of Kolmogorov-Smirnov's type. All these corrected tests are asymptotically calibrated in the sense that the probability of rejection under the null hypothesis is asymptotically equal to the level of the test. See for more details on the statistical tests.
How to cite:
Olivier Bouaziz (2022). robusTest: Calibrated Correlation and Two-Sample Tests. R package version 1.1.0, https://cran.r-project.org/web/packages/robusTest. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2022-11-16 07:30), 1.0.1 (2022-12-15 08:30)
Other packages that cited robusTest R package
View robusTest citation profile
Other R packages that robusTest depends, imports, suggests or enhances
Complete documentation for robusTest
Functions, R codes and Examples using the robusTest R package
Some associated functions: Evans . cortest . ecdf2D . indeptest . mediantest . simulecdf . stat_indeptest . tiebreak . vartest . wilcoxtest . 
Some associated R codes: RcppExports.R . cortest.R . data.R . ecdf2D.R . indeptest.R . mediantest.R . simulecdf.R . stat_indeptest.R . tiebreak.R . vartest.R . wilcoxtest.R .  Full robusTest package functions and examples
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