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robusTest
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", "1.0.1")
Attach the package and use:
library("robusTest")
Maintained by
Olivier Bouaziz
[Scholar Profile | Author Map]
[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 <doi:10.48550/arXiv.2211.08784> for more details on the statistical tests.
How to cite:
Olivier Bouaziz (2022). robusTest: Calibrated Correlation and Two-Sample Tests. R package version 1.0.1, https://cran.r-project.org/web/packages/robusTest
Previous versions and publish date:
1.0.0 (2022-11-16 07:30)
Other packages that cited robusTest R package
View robusTest citation profile
Other R packages that robusTest depends,
imports, suggests or enhances
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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