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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 |
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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.
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