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: | 3.0.0 |
Depends: | R (≥ 3.5) |
Imports: | Rcpp, parallel, ggplot2, stats, graphics |
LinkingTo: | Rcpp |
Suggests: | rmarkdown, knitr |
Published: | 2025-02-01 |
DOI: | 10.32614/CRAN.package.Rgof |
Author: | Wolfgang Rolke [aut, cre] |
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.pdf |
Vignettes: |
R Package Rgof (source, R code) |
Package source: | Rgof_3.0.0.tar.gz |
Windows binaries: | r-devel: Rgof_3.0.0.zip, r-release: Rgof_3.0.0.zip, r-oldrel: Rgof_3.0.0.zip |
macOS binaries: | r-release (arm64): Rgof_3.0.0.tgz, r-oldrel (arm64): Rgof_2.1.1.tgz, r-release (x86_64): Rgof_3.0.0.tgz, r-oldrel (x86_64): Rgof_2.1.1.tgz |
Old sources: | Rgof archive |
Please use the canonical form https://CRAN.R-project.org/package=Rgof to link to this page.