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.

Version: 0.1.0
Depends: R (≥ 3.5), stats4, CompQuadForm
Suggests: testthat
Published: 2019-11-04
Author: Shaun Zheng Sun [aut, cre], Dillon Duncan [aut]
Maintainer: Shaun Zheng Sun <Shaun.Sun at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: cvmdisc results


Reference manual: cvmdisc.pdf


Package source: cvmdisc_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cvmdisc_0.1.0.tgz, r-release (x86_64): cvmdisc_0.1.0.tgz, r-oldrel: cvmdisc_0.1.0.tgz

Reverse dependencies:

Reverse suggests: discretefit


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