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FitUltD: Fit Univariate Mixed and Usual Distributions

Extends the fitdist() (from 'fitdistrplus') adding the Anderson-Darling ad.test() (from 'ADGofTest') and Kolmogorov Smirnov Test ks.test() inside, trying the distributions from 'stats' package by default and offering a second function which uses mixed distributions to fit, this distributions are split with unsupervised learning, with Mclust() function (from 'mclust').

Version:3.1.0
Depends:R (≥ 3.2.0),mclust
Imports:ADGofTest,fitdistrplus,assertthat,MASS,purrr,ggplot2,cowplot, methods, stats
Published:2019-09-11
DOI:10.32614/CRAN.package.FitUltD
Author:José Carlos Del Valle
Maintainer:José Carlos Del Valle <jcval94 at gmail.com>
BugReports:https://github.com/jcval94/FitUltD/issues
License:GPL-3
URL:https://github.com/jcval94/FitUltD
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:FitUltD results

Documentation:

Reference manual:FitUltD.html ,FitUltD.pdf

Downloads:

Package source: FitUltD_3.1.0.tar.gz
Windows binaries: r-devel:FitUltD_3.1.0.zip, r-release:FitUltD_3.1.0.zip, r-oldrel:FitUltD_3.1.0.zip
macOS binaries: r-release (arm64):FitUltD_3.1.0.tgz, r-oldrel (arm64):FitUltD_3.1.0.tgz, r-release (x86_64):FitUltD_3.1.0.tgz, r-oldrel (x86_64):FitUltD_3.1.0.tgz
Old sources: FitUltD archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=FitUltDto link to this page.


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