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ExtDist: Extending the Range of Functions for Probability Distributions

A consistent, unified and extensible framework for estimation of parameters for probability distributions, including parameter estimation procedures that allow for weighted samples; the current set of distributions included are: the standard beta, The four-parameter beta, Burr, gamma, Gumbel, Johnson SB and SU, Laplace, logistic, normal, symmetric truncated normal, truncated normal, symmetric-reflected truncated beta, standard symmetric-reflected truncated beta, triangular, uniform, and Weibull distributions; decision criteria and selections based on these decision criteria.

Version: 0.7-2
Imports: numDeriv, optimx
Suggests: ggplot2, knitr, PerformanceAnalytics, stats, SuppDists, truncdist, VGAM, xtable, graphics, utils, rmarkdown
Published: 2023-08-21
DOI: 10.32614/CRAN.package.ExtDist
Author: Haizhen Wu, A. Jonathan R. Godfrey, Kondaswamy Govindaraju, Sarah Pirikahu
Maintainer: Oleksii Nikolaienko <oleksii.nikolaienko at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
In views: Distributions
CRAN checks: ExtDist results

Documentation:

Reference manual: ExtDist.pdf
Vignettes: Distributions-Beta
Distributions-Normal
Distributions-Index
Parameter-Estimation-and-Distribution-Selection-by-ExtDist

Downloads:

Package source: ExtDist_0.7-2.tar.gz
Windows binaries: r-devel: ExtDist_0.7-2.zip, r-release: ExtDist_0.7-2.zip, r-oldrel: ExtDist_0.7-2.zip
macOS binaries: r-release (arm64): ExtDist_0.7-2.tgz, r-oldrel (arm64): ExtDist_0.7-2.tgz, r-release (x86_64): ExtDist_0.7-2.tgz, r-oldrel (x86_64): ExtDist_0.7-2.tgz
Old sources: ExtDist archive

Reverse dependencies:

Reverse imports: kko, noisemodel, ramr
Reverse suggests: fitteR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ExtDist to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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