A central decision in a parametric regression is how to specify the relation between an dependent variable and each explanatory variable. This package provides a semi-parametric tool for comparing different transformations of an explanatory variables in a parametric regression. The functions is relevant in a situation, where you would use a box-cox or Box-Tidwell transformations. In contrast to the classic power-transformations, the methods in this package allows for theoretical driven user input and the possibility to compare with a non-parametric transformation.
| Version: | 1.6 |
| Depends: | R (≥ 3.4), mgcv |
| Published: | 2017-11-01 |
| Author: | Toke Emil Panduro, Cathrine Ulla Jensen |
| Maintainer: | Cathrine Ulla Jensen <cuj at ifro.ku.dk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | PanJen results |
| Reference manual: | PanJen.pdf |
| Package source: | PanJen_1.6.tar.gz |
| Windows binaries: | r-devel: PanJen_1.6.zip, r-release: PanJen_1.6.zip, r-oldrel: PanJen_1.6.zip |
| macOS binaries: | r-release: PanJen_1.6.tgz, r-oldrel: PanJen_1.6.tgz |
| Old sources: | PanJen archive |
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