Fitting Distributions to Given Data or Known Quantiles
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
R
man
tools
.Rbuildignore
.gitignore
.travis.yml
DESCRIPTION
NAMESPACE
NEWS.md
README-diagnostic_plots-fitting_continuous_distributions.xcf
README.Rmd
README.md
TODO.md
cran-comments.md
rriskDistributions.Rproj

README.md

rriskDistributions

CRAN_Status_Badge travis_build_badge_for_dev_branch

rriskDistributions is a collection of functions for fitting distributions to given data or known quantiles.

The 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 that this package is part of the rrisk project.

E.g., we can fit random data generated from a gamma distribution with fit.cont():

res <- fit.cont(data2fit = rgamma(n = 37, shape = 4, rate = 0.08))

This will open a new window where the user can inspect diagnostic plots for a variety of possible distributions and then choose the distribution she wants to continue working with (the chosen distribution will be stored in the res variable):

diagnostic plots

Updating to the latest version of rriskDistributions

You can track (and contribute to) development of rriskDistributions at https://github.com/BfRstats/rriskDistributions. To install it, run the following command (this requires the devtools package):

devtools::install_github("BfRstats/rriskDistributions")

Authors

  • Natalia Belgorodski (STAT-UP Statistical Consulting)
  • Matthias Greiner (Federal Institute for Risk Assessment, Germany)
  • Kristin Tolksdorf (Federal Institute for Risk Assessment, Germany)
  • Katharina Schueller (STAT-UP Statistical Consulting)

With contributions from

  • Lutz Göhring (Lutz Göhring Consulting)
  • Matthias Flor (Federal Institute for Risk Assessment, Germany)