fitteR: Fit Hundreds of Theoretical Distributions to Empirical Data (original) (raw)

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: 0.2.0
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, 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: 2022-02-22
DOI: 10.32614/CRAN.package.fitteR
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
In views: Distributions
CRAN checks: fitteR results

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