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 and trying the distributions (from 'stats') 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: 3.0.0
Depends: R (≥ 3.2.0), mclust
Imports: ADGofTest, fitdistrplus, assertthat, MASS, purrr, ggplot2, cowplot, methods, stats
Published: 2019-05-15
Author: José Carlos Del Valle
Maintainer: José Carlos Del Valle <jcval94 at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: FitUltD results


Reference manual: FitUltD.pdf
Package source: FitUltD_3.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: FitUltD_3.0.0.tgz, r-oldrel: FitUltD_3.0.0.tgz


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