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Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <http://journal-sfds.fr/article/view/215>) and k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
Version: | 0.3.0 |
Depends: | R (≥ 3.5.0) |
Imports: | mvtnorm, boot, Formula, MASS, plsRglm, betareg, methods |
Suggests: | bipartite, knitr, markdown, plotrix, pls, plsdof, prettydoc, rmarkdown |
Published: | 2023-03-15 |
DOI: | 10.32614/CRAN.package.plsRbeta |
Author: | Frederic Bertrand |
Maintainer: | Frederic Bertrand <frederic.bertrand at utt.fr> |
BugReports: | https://github.com/fbertran/plsRbeta/issues/ |
License: | GPL-3 |
URL: | https://fbertran.github.io/plsRbeta/, https://github.com/fbertran/plsRbeta/ |
NeedsCompilation: | no |
Classification/MSC: | 62J12, 62J99 |
Citation: | plsRbeta citation info |
Materials: | README |
In views: | MissingData |
CRAN checks: | plsRbeta results |
Reference manual: | plsRbeta.pdf |
Vignettes: |
Partial Least Squares Regression for Beta Regression Models |
Package source: | plsRbeta_0.3.0.tar.gz |
Windows binaries: | r-devel: plsRbeta_0.3.0.zip, r-release: plsRbeta_0.3.0.zip, r-oldrel: plsRbeta_0.3.0.zip |
macOS binaries: | r-release (arm64): plsRbeta_0.3.0.tgz, r-oldrel (arm64): plsRbeta_0.3.0.tgz, r-release (x86_64): plsRbeta_0.3.0.tgz, r-oldrel (x86_64): plsRbeta_0.3.0.tgz |
Old sources: | plsRbeta 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.
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