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 gmail.com> |
| BugReports: | https://github.com/jcval94/FitUltD/issues |
| License: | GPL-3 |
| URL: | https://github.com/jcval94/FitUltD |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | FitUltD results |
| Reference manual: | FitUltD.pdf |
| Package source: | FitUltD_3.0.0.tar.gz |
| Windows binaries: | r-devel: FitUltD_3.0.0.zip, r-release: FitUltD_3.0.0.zip, r-oldrel: FitUltD_3.0.0.zip |
| OS X binaries: | r-release: FitUltD_3.0.0.tgz, r-oldrel: FitUltD_3.0.0.tgz |
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