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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
Browse package contents
Package details |
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| Author | Markus Boenn |
| Maintainer | Markus Boenn <markus.boenn.sf@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.2.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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