Systematic fit of hundreds of theoretical univariate distributions to empirical data via maximum likelihood estimation. Fits are reported and summarized by a data.frame, a csv file or a 'shiny' app (here with additional features like visual representation of fits). All output formats provide assessment of goodness-of-fit by the following methods: Kolmogorov-Smirnov test, Shapiro-Wilks test, Anderson-Darling test.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.0), methods |
| Imports: | stats, utils, DT, shiny, dplyr, maxLik, R.utils, tools |
| Suggests: | actuar, ald, benchden, BiasedUrn, bridgedist, Davies, DiscreteInverseWeibull, DiscreteLaplace, DiscreteWeibull, emdbook, emg, EnvStats, evd, evir, ExtDist, extremefit, FAdist, FatTailsR, fBasics, fExtremes, flexsurv, gambin, gb, GenBinomApps, GeneralizedHyperbolic, gld, GLDEX, glogis, GSM, hermite, HyperbolicDist, ihs, KScorrect, loglognorm, marg, mc2d, minimax, msm, nCDunnett, NormalLaplace, normalp, ParetoPosStable, PearsonDS, poistweedie, polyaAeppli, qmap, QRM, ReIns, reliaR, Renext, revdbayes, RMKdiscrete, RMTstat, sadists, skellam, SkewHyperbolic, skewt, SMR, sn, stabledist, STAR, statmod, trapezoid, triangle, truncnorm, VarianceGamma |
| Published: | 2017-12-11 |
| Author: | Markus Boenn |
| Maintainer: | Markus Boenn <markus.boenn.sf at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | fitteR citation info |
| CRAN checks: | fitteR results |
| Reference manual: | fitteR.pdf |
| Package source: | fitteR_0.1.0.tar.gz |
| Windows binaries: | r-devel: fitteR_0.1.0.zip, r-release: fitteR_0.1.0.zip, r-oldrel: fitteR_0.1.0.zip |
| OS X El Capitan binaries: | r-release: fitteR_0.1.0.tgz |
| OS X Mavericks binaries: | r-oldrel: fitteR_0.1.0.tgz |
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