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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fitteR to link to this page.
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