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DistributionTest  

Powerful Goodness-of-Fit Tests Based on the Likelihood Ratio
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DistributionTest", "1.1")



Attach the package and use:
library("DistributionTest")
Maintained by
Ning Cui
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-07
Latest Update: 2020-02-26
Description:
Provides new types of omnibus tests which are generally much more powerful than traditional tests (including the Kolmogorov-Smirnov, Cramer-von Mises and Anderson-Darling tests),see Zhang (2002) .
How to cite:
Ning Cui (2019). DistributionTest: Powerful Goodness-of-Fit Tests Based on the Likelihood Ratio. R package version 1.1, https://cran.r-project.org/web/packages/DistributionTest. Accessed 06 Aug. 2026.
Previous versions and publish date:
1.0 (2019-08-07 17:20), (2026-07-09 08:02)
Other packages that cited DistributionTest R package
View DistributionTest citation profile
Other R packages that DistributionTest depends, imports, suggests or enhances
Complete documentation for DistributionTest
Functions, R codes and Examples using the DistributionTest R package
Some associated functions: za.test . zc.test . zk.test . 
Some associated R codes: za.test.R . zc.test.R . zk.test.R .  Full DistributionTest package functions and examples
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