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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