Routines that allow the user to run a large number of goodness-of-fit tests. It allows for data to be continuous or discrete. It includes routines to estimate the power of the tests and display them as a power graph. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.
| Version: | 3.3.0 | 
| Depends: | R (≥ 3.5) | 
| Imports: | Rcpp, parallel, ggplot2, stats, graphics, microbenchmark, nortest | 
| LinkingTo: | Rcpp | 
| Suggests: | rmarkdown, knitr | 
| Published: | 2025-06-16 | 
| DOI: | 10.32614/CRAN.package.Rgof | 
| Author: | Wolfgang Rolke | 
| Maintainer: | Wolfgang Rolke <wolfgang.rolke at upr.edu> | 
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] | 
| NeedsCompilation: | yes | 
| Materials: | NEWS | 
| CRAN checks: | Rgof results | 
| Reference manual: | Rgof.html , Rgof.pdf | 
| Vignettes: | R Package Rgof (source, R code) | 
| Package source: | Rgof_3.3.0.tar.gz | 
| Windows binaries: | r-devel: Rgof_3.3.0.zip, r-release: Rgof_3.3.0.zip, r-oldrel: Rgof_3.3.0.zip | 
| macOS binaries: | r-release (arm64): Rgof_3.3.0.tgz, r-oldrel (arm64): Rgof_3.3.0.tgz, r-release (x86_64): Rgof_3.3.0.tgz, r-oldrel (x86_64): Rgof_3.3.0.tgz | 
| Old sources: | Rgof archive | 
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