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discretefit  

Simulated Goodness-of-Fit Tests for Discrete Distributions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("discretefit", "0.1.2")



Attach the package and use:
library("discretefit")
Maintained by
Josh McCormick
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-08
Latest Update: 2022-01-25
Description:
Implements fast Monte Carlo simulations for goodness-of-fit (GOF) tests for discrete distributions. This includes tests based on the Chi-squared statistic, the log-likelihood-ratio (G^2) statistic, the Freeman-Tukey (Hellinger-distance) statistic, the Kolmogorov-Smirnov statistic, the Cramer-von Mises statistic as described in Choulakian, Lockhart and Stephens (1994) , and the root-mean-square statistic, see Perkins, Tygert, and Ward (2011) .
How to cite:
Josh McCormick (2021). discretefit: Simulated Goodness-of-Fit Tests for Discrete Distributions. R package version 0.1.2, https://cran.r-project.org/web/packages/discretefit
Previous versions and publish date:
0.0.0 (2021-10-08 19:40), 0.1.0 (2021-10-25 09:00), 0.1.1 (2021-10-31 00:30)
Other packages that cited discretefit R package
View discretefit citation profile
Other R packages that discretefit depends, imports, suggests or enhances
Functions, R codes and Examples using the discretefit R package
Some associated functions: chisq_gof . cvm_gof . ft_gof . g_gof . ks_gof . rms_gof . 
Some associated R codes: RcppExports.R . chisq_gof.R . cvm_gof.R . ft_gof.R . g_gof.R . ks_gof.R . rms_gof.R . utils.R .  Full discretefit package functions and examples
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