plsRglm

Partial Least Squares Regression for Generalized Linear Models

Provides (weighted) Partial least squares Regression for generalized linear models and repeated 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
plsRglm
Version
1.2.5
Date
2019-02-02
Depends
R (>= 2.10)
Imports
mvtnorm, boot, bipartite, car, MASS
Enhances
pls
Suggests
plsdof, R.rsp, chemometrics, plsdepot
Title
Partial Least Squares Regression for Generalized Linear Models
Author
Frederic Bertrand [cre, aut] (), Myriam Maumy-Bertrand [aut] ()
Maintainer
Frederic Bertrand
Description
Provides (weighted) Partial least squares Regression for generalized linear models and repeated 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
URL
BugReports
https://github.com/fbertran/plsRglm/issues
VignetteBuilder
R.rsp
Classification/MSC
62J12, 62J99
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2019-02-02 02:06:45 UTC; fbertran
Repository
CRAN
Date/Publication
2019-02-02 06:00:03 UTC

install.packages('plsRglm')

1.2.5

3 months ago

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

Frederic Bertrand

GPL-3

Depends on

R (>= 2.10)

Imports

mvtnorm, boot, bipartite, car, MASS

Suggests

plsdof, R.rsp, chemometrics, plsdepot

Discussions