The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
To assess and compare the models' goodness of fit, R-squared is one of the most popular measures. For categorical data analysis, however, no universally adopted R-squared measure can resemble the ordinary least square (OLS) R-squared for linear models with continuous data. This package implement the surrogate R-squared measure for categorical data analysis, which is proposed in the study of Dungang Liu, Xiaorui Zhu, Brandon Greenwell, and Zewei Lin (2022) <doi:10.1111/bmsp.12289>. It can generate a point or interval measure of the surrogate R-squared. It can also provide a ranking measure of the percentage contribution of each variable to the overall surrogate R-squared. This ranking assessment allows one to check the importance of each variable in terms of their explained variance. This package can be jointly used with other existing R packages for variable selection and model diagnostics in the model-building process.
| Version: | 0.2.1 |
| Depends: | R (≥ 3.5.0), MASS (≥ 7.3-54), PAsso (≥ 0.1.10), progress (≥ 1.2.0), scales (≥ 1.1.1) |
| Suggests: | R.rsp, knitr, rmarkdown, testthat (≥ 3.0.0), dplyr (≥ 1.1.1) |
| Published: | 2023-04-24 |
| DOI: | 10.32614/CRAN.package.SurrogateRsq |
| Author: | Xiaorui (Jeremy) Zhu [aut, cre, cph], Dungang Liu [ctb], Zewei Lin [ctb], Brandon Greenwell [ctb] |
| Maintainer: | Xiaorui (Jeremy) Zhu <zhuxiaorui1989 at gmail.com> |
| BugReports: | https://github.com/XiaoruiZhu/SurrogateRsq/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://xiaorui.site/SurrogateRsq/, http://xiaorui.site/SurrogateRsq/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | SurrogateRsq results |
| Reference manual: | SurrogateRsq.pdf |
| Vignettes: |
A introduction to categorical data goodness-of-fit analysis using the SurrogateRsq package |
| Package source: | SurrogateRsq_0.2.1.tar.gz |
| Windows binaries: | r-devel: SurrogateRsq_0.2.1.zip, r-release: SurrogateRsq_0.2.1.zip, r-oldrel: SurrogateRsq_0.2.1.zip |
| macOS binaries: | r-release (arm64): SurrogateRsq_0.2.1.tgz, r-oldrel (arm64): SurrogateRsq_0.2.1.tgz, r-release (x86_64): SurrogateRsq_0.2.1.tgz, r-oldrel (x86_64): SurrogateRsq_0.2.1.tgz |
| Old sources: | SurrogateRsq archive |
Please use the canonical form https://CRAN.R-project.org/package=SurrogateRsq to link to this page.
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.
Health stats visible at Monitor.