plsRbeta

Partial Least Squares Regression for Beta Regression Models

Provides Partial least squares Regression for (weighted) beta regression models 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
0.2.2
Date
2018-06-11
Depends
R (>= 2.4.0)
Imports
mvtnorm, boot, Formula, plsdof, MASS, plsRglm, betareg, methods
Enhances
Suggests
pls
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 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
latin1
URL
Classification/MSC
62J12, 62J99
NeedsCompilation
no
Packaged
2018-06-11 20:42:32 UTC; fbertran
Repository
CRAN
Date/Publication
2018-06-11 21:13:01 UTC

install.packages('plsRbeta')

0.2.2

8 days ago

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

Frederic Bertrand

GPL-3

Depends on

R (>= 2.4.0)

Imports

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

Suggests

pls

Discussions