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
[cre, aut],
Myriam Maumy-Bertrand
[aut] |
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 |