CRAN/E | fitteR

fitteR

Fit Hundreds of Theoretical Distributions to Empirical Data

Installation

About

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.

Citation fitteR citation info

Key Metrics

Version 0.2.0
R ≥ 3.3.0
Published 2022-02-22 788 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks fitteR results

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Maintainer

Maintainer

Markus Boenn

markus.boenn.sf@gmail.com

Authors

Markus Boenn

Material

Reference manual
Package source

In Views

Distributions

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

fitteR archive

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
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