The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.
Reference manual: | fitteR.pdf |
Package source: | fitteR_0.2.0.tar.gz |
Windows binaries: | r-devel: fitteR_0.2.0.zip, r-release: fitteR_0.2.0.zip, r-oldrel: fitteR_0.2.0.zip |
macOS binaries: | r-release (arm64): fitteR_0.2.0.tgz, r-oldrel (arm64): fitteR_0.2.0.tgz, r-release (x86_64): fitteR_0.2.0.tgz, r-oldrel (x86_64): fitteR_0.2.0.tgz |
Old sources: | fitteR archive |
Please use the canonical form https://CRAN.R-project.org/package=fitteR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.