Package: fitteR 0.2.0

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.

Authors:Markus Boenn

fitteR_0.2.0.tar.gz
fitteR_0.2.0.zip(r-4.5)fitteR_0.2.0.zip(r-4.4)fitteR_0.2.0.zip(r-4.3)
fitteR_0.2.0.tgz(r-4.4-any)fitteR_0.2.0.tgz(r-4.3-any)
fitteR_0.2.0.tar.gz(r-4.5-noble)fitteR_0.2.0.tar.gz(r-4.4-noble)
fitteR_0.2.0.tgz(r-4.4-emscripten)fitteR_0.2.0.tgz(r-4.3-emscripten)
fitteR.pdf |fitteR.html✨
fitteR/json (API)

# Install 'fitteR' in R:
install.packages('fitteR', repos = c('https://markusboenn.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 6 scripts 203 downloads 6 exports 58 dependencies

Last updated 3 years agofrom:faec7e23b7. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winNOTENov 20 2024
R-4.4-macNOTENov 20 2024
R-4.3-winNOTENov 20 2024
R-4.3-macNOTENov 20 2024

Exports:ecdf2fitterprintReportpvalue2starspvalues2starssupported.packages

Dependencies:base64encbslibcachemclicommonmarkcrayoncrosstalkdigestdplyrDTevaluatefansifastmapfontawesomefsgenericsgluehighrhtmltoolshtmlwidgetshttpuvjquerylibjsonliteknitrlaterlatticelazyevallifecyclemagrittrmaxLikmemoisemimemiscToolspillarpkgconfigpromisesR.methodsS3R.ooR.utilsR6rappdirsRcpprlangrmarkdownsandwichsassshinysourcetoolstibbletidyselecttinytexutf8vctrswithrxfunxtableyamlzoo