Package: cvmdisc 0.1.0
Shaun Zheng Sun
cvmdisc: Cramer von Mises Tests for Discrete or Grouped Distributions
Implements Cramer-von Mises Statistics for testing fit to (1) fully specified discrete distributions as described in Choulakian, Lockhart and Stephens (1994) <doi:10.2307/3315828> (2) discrete distributions with unknown parameters that must be estimated from the sample data, see Spinelli & Stephens (1997) <doi:10.2307/3315735> and Lockhart, Spinelli and Stephens (2007) <doi:10.1002/cjs.5550350111> (3) grouped continuous distributions with Unknown Parameters, see Spinelli (2001) <doi:10.2307/3316040>. 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.
Authors:
cvmdisc_0.1.0.tar.gz
cvmdisc_0.1.0.tar.gz(r-4.5-noble)cvmdisc_0.1.0.tar.gz(r-4.4-noble)
cvmdisc_0.1.0.tgz(r-4.4-emscripten)cvmdisc_0.1.0.tgz(r-4.3-emscripten)
cvmdisc.pdf |cvmdisc.html✨
cvmdisc/json (API)
| # Install 'cvmdisc' in R: |
| install.packages('cvmdisc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:6c76e1932a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
Exports:cvmPvalcvmTestdistrFitgroupFit
Dependencies:CompQuadForm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit Grouped Data | cvmdisc-package cvmdisc |
| cvmPval | cvmPval |
| cvmTest | cvmTest |
| distrFit | distrFit |
| groupFit | groupFit |