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cvmdisc  

Cramer von Mises Tests for Discrete or Grouped Distributions
View on CRAN: Click here


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

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

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



Attach the package and use:
library("cvmdisc")
Maintained by
Shaun Zheng Sun
[Scholar Profile | Author Map]
First Published: 2019-11-04
Latest Update: 2019-11-04
Description:
Implements Cramer-von Mises Statistics for testing fit to (1) fully specified discrete distributions as described in Choulakian, Lockhart and Stephens (1994) (2) discrete distributions with unknown parameters that must be estimated from the sample data, see Spinelli & Stephens (1997) and Lockhart, Spinelli and Stephens (2007) (3) grouped continuous distributions with Unknown Parameters, see Spinelli (2001) . Maximum likelihood estimation (MLE) is used to estimate the parameters. The package computes the Cramer-von Mises Statistics, Anderson-Darling Statistics and the Watson-Stephens Statistics and their p-values.
How to cite:
Shaun Zheng Sun (2019). cvmdisc: Cramer von Mises Tests for Discrete or Grouped Distributions. R package version 0.1.0, https://cran.r-project.org/web/packages/cvmdisc. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Other R packages that cvmdisc depends, imports, suggests or enhances
Complete documentation for cvmdisc
Functions, R codes and Examples using the cvmdisc R package
Some associated functions: cvmPval . cvmTest . cvmdisc . distrFit . groupFit . 
Some associated R codes: IntPartials.R . PackageDescription.R . cvmPval.R . cvmTest.R . distrFit.R . groupFit.R .  Full cvmdisc package functions and examples
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