plsRbeta

Partial Least Squares Regression for Beta Regression Models

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.

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Description file content

Package
plsRbeta
Version
0.2.5
Date
2019-02-01
Depends
R (>= 2.4.0)
Imports
mvtnorm, boot, Formula, MASS, plsRglm, betareg, methods
Enhances
Suggests
pls, plsdof
Title
Partial Least Squares Regression for Beta Regression Models
Author
Frederic Bertrand [cre, aut] (), Myriam Maumy-Bertrand [aut] ()
Maintainer
Frederic Bertrand
Description
Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, ) 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.
License
GPL-3
Encoding
UTF-8
Classification/MSC
62J12, 62J99
URL
BugReports
https://github.com/fbertran/plsRbeta/issues
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2019-02-01 11:09:13 UTC; fbertran
Repository
CRAN
Date/Publication
2019-02-01 11:30:03 UTC

install.packages('plsRbeta')

0.2.5

3 months ago

http://www-irma.u-strasbg.fr/~fbertran/

Frederic Bertrand

GPL-3

Depends on

R (>= 2.4.0)

Imports

mvtnorm, boot, Formula, MASS, plsRglm, betareg, methods

Suggests

pls, plsdof

Discussions