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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 |
DOI: | 10.32614/CRAN.package.PanJen |
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 (arm64): PanJen_1.6.tgz, r-oldrel (arm64): PanJen_1.6.tgz, r-release (x86_64): PanJen_1.6.tgz, r-oldrel (x86_64): PanJen_1.6.tgz |
Old sources: | PanJen archive |
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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.