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EDFtest  

Goodness of Fit Based on Empirical Distribution Function
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EDFtest", "0.1.0")



Attach the package and use:
library("EDFtest")
Maintained by
Li Yao
[Scholar Profile | Author Map]
First Published: 2021-10-25
Latest Update: 2021-10-25
Description:
This repository contains software for the calculation of goodness-of-fit test statistics and their P-values. The three statistics computed are the Empirical Distribution function statistics called Cramer-von Mises, Anderson-Darling, and Watson statistics. The statistics and their P-values can be used to assess an assumed distribution.The following distributions are available: Uniform, Normal, Gamma, Logistic, Laplace, Weibull, Extreme Value, and Exponential.
How to cite:
Li Yao (2021). EDFtest: Goodness of Fit Based on Empirical Distribution Function. R package version 0.1.0, https://cran.r-project.org/web/packages/EDFtest. Accessed 06 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited EDFtest R package
View EDFtest citation profile
Other R packages that EDFtest depends, imports, suggests or enhances
Complete documentation for EDFtest
Functions, R codes and Examples using the EDFtest R package
Some associated functions: AD . AD.pvalue . CvM . CvM.pvalue . EDFtest-package . Watson . Watson.pvalue . estimate . gof.bootstrap . gof . gof.sandwich . 
Some associated R codes: AD.pvalue.R . AD.statistic.R . CvM.pvalue.R . CvM.statistic.R . EDFtest-package.R . Watson.pvalue.R . Watson.statistic.R . estimate.sample.R . gof.R . gof.bootstrap.R . gof.sandwich.R .  Full EDFtest package functions and examples
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