fitteR: Fit Hundreds of Theoretical Distributions to Empirical Data

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.

Getting started

Package details

AuthorMarkus Boenn
MaintainerMarkus Boenn <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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fitteR documentation built on Dec. 11, 2017, 5:06 p.m.