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.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

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