fitdistrplus: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data

Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME) and maximum goodness-of-fit estimation (MGE) methods (available only for non-censored data). Weighted versions of MLE, MME and QME are available.

Version: 1.0-9
Depends: R (≥ 3.2.0), MASS, grDevices, survival, methods
Imports: stats
Suggests: actuar, rgenoud, mc2d, gamlss.dist, knitr, knitcitations, ggplot2, GeneralizedHyperbolic
Published: 2017-03-24
Author: Marie-Laure Delignette-Muller [aut], Christophe Dutang [aut], Regis Pouillot [ctb], Jean-Baptiste Denis [ctb], Aurélie Siberchicot [aut, cre]
Maintainer: Aurélie Siberchicot <aurelie.siberchicot at>
Contact: Marie-Laure Delignette-Muller <marielaure.delignettemuller at> or Christophe Dutang <christophe.dutang at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: MailingList:;,
NeedsCompilation: no
Citation: fitdistrplus citation info
Materials: NEWS
In views: Distributions, Survival
CRAN checks: fitdistrplus results


Reference manual: fitdistrplus.pdf
Vignettes: Frequently Asked Questions
Which optimization algorithm to choose?
Fit parametric distributions on non-censored or censored data
Package source: fitdistrplus_1.0-9.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: fitdistrplus_1.0-9.tgz
OS X Mavericks binaries: r-oldrel: fitdistrplus_1.0-9.tgz
Old sources: fitdistrplus archive

Reverse dependencies:

Reverse depends: BMT, enveomics.R, genasis, goft, mbbefd, qmap, SCI
Reverse imports: amt, AnnuityRIR, bayou, binnednp, Dpit, EnviroPRA, fitur, ICcalib, myTAI, SCORPIUS, simPop, STI
Reverse suggests: AICcmodavg, LindleyR, mc2d,, raw


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