Package: rriskDistributions 2.1.2

Matthias Greiner

rriskDistributions: Fitting Distributions to Given Data or Known Quantiles

Collection of functions for fitting distributions to given data or by known quantiles. Two main functions fit.perc() and fit.cont() provide users a GUI that allows to choose a most appropriate distribution without any knowledge of the R syntax. Note, this package is a part of the 'rrisk' project.

Authors:Natalia Belgorodski [aut], Matthias Greiner [aut, cre], Kristin Tolksdorf [aut], Katharina Schueller [aut], Matthias Flor [ctb], Lutz Göhring [ctb]

rriskDistributions_2.1.2.tar.gz
rriskDistributions_2.1.2.tar.gz(r-4.7-any)rriskDistributions_2.1.2.tar.gz(r-4.6-any)
rriskDistributions_2.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rriskDistributions/json (API)

# Install 'rriskDistributions' in R:
install.packages('rriskDistributions', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.21 score 1 packages 216 scripts 853 downloads 5 mentions 29 exports 83 dependencies

Last updated from:74261856ab. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK176
source / vignettesOK251
linux-release-x86_64OK177
wasm-releaseOK137

Exports:fit.contfit.percget.beta.parget.cauchy.parget.chisq.parget.chisqnc.parget.exp.parget.f.parget.gamma.parget.gompertz.parget.hyper.parget.lnorm.parget.logis.parget.nbinom.parget.norm.parget.norm.sdget.pert.parget.pois.parget.t.parget.tnorm.parget.triang.parget.unif.parget.weibull.parplotDiagnostics.percrriskFitdist.contrriskFitdist.percrriskMLEdistrriskMMEdistuseFitdist

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrehaexpmfarverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmc2dmgcvmicrobenchmarkminqamodelrmsmmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetkrploturcautf8vctrsviridisLitewithrzoo

Readme and manuals

Help Manual

Help pageTopics
Fitting distributions to given data or known quantilesrriskDistributions-package rriskDistributions
GUI for fitting continuous distributions to given datafit.cont
Choosing distribution by given quantilesfit.perc
Fitting parameters of a Beta distribution from two or more quantilesget.beta.par
Fitting parameters of a Cauchy distribution from two or more quantilesget.cauchy.par
Fitting parameter of a chi-square distribution from one or more quantilesget.chisq.par
Fitting parameters of a non-central chi-square distribution from one or more quantilesget.chisqnc.par
Fitting parameters of an exponential distribution from one or more quantilesget.exp.par
Fitting parameters of a F distribution from two or more quantilesget.f.par
Fitting parameters of a gamma distribution from two or more quantilesget.gamma.par
Fitting parameters of a Gompertz distribution from two or more quantilesget.gompertz.par
Fitting parameters of a hypergeometric distribution from three or more quantilesget.hyper.par
Fitting parameters of a lognormal distribution from two or more quantilesget.lnorm.par
Fitting parameters of a logistic distribution from two or more quantilesget.logis.par
Fitting parameters of a negative binomial distribution from two or more quantilesget.nbinom.par
Fitting parameters of normal distribution from two or more quantilesget.norm.par
Fitting standard deviation of a normal distribution from one or more quantiles and known meanget.norm.sd
Fitting parameters of a pert distribution from four or more quantilesget.pert.par
Fitting parameter of Poisson distribution from one or more quantilesget.pois.par
Fitting parameter of a Student's t distribution from one or more quantilesget.t.par
Fitting parameters of truncated normal distribution from four or more quantilesget.tnorm.par
Fitting parameters of a triangular distribution from three or more quantilesget.triang.par
Fitting parameters of a uniform distribution from two or more quantilesget.unif.par
Fitting parameters of a Weibull distribution from two or more quantilesget.weibull.par
Graphical tools for choosing distribution by given quantilesplotDiagnostics.perc
Fitting univariate distributions by maximum likelihood or by matching momentsrriskFitdist.cont
Fitting an amount of distribution families by given quantilesrriskFitdist.perc
Maximum likelihood fitting of univariate distributionsrriskMLEdist
Fitting univariate distributions by matching momentsrriskMMEdist
Fitting amount continuous distributions to given univariate data.useFitdist