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
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

Downloads:

Reference manual: FitUltD.pdf
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
OS X binaries: r-release: FitUltD_3.1.0.tgz, r-oldrel: FitUltD_3.1.0.tgz
Old sources: FitUltD archive

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