CRAN/E | plsRglm

plsRglm

Partial Least Squares Regression for Generalized Linear Models

Installation

About

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.

Citation plsRglm citation info
fbertran.github.io/plsRglm/
github.com/fbertran/plsRglm/
Bug report File report

Key Metrics

Version 1.5.1
R ≥ 2.10
Published 2023-03-14 411 days ago
Needs compilation? no
License GPL-3
CRAN checks plsRglm results

Downloads

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Last 7 days 209 +16%
Last 30 days 771 -13%
Last 90 days 2.422 -3%
Last 365 days 10.017 +3%

Maintainer

Maintainer

Frederic Bertrand

frederic.bertrand@utt.fr

Authors

Frederic Bertrand

cre / aut

Myriam Maumy-Bertrand

aut

Material

NEWS
Reference manual
Package source

In Views

MissingData

Vignettes

plsRglm: Manual
plsRglm: Algorithmic insights and applications

Classification MSC

62J12
62J99

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

plsRglm archive

Depends

R ≥ 2.10

Imports

mvtnorm
boot
bipartite
car
MASS

Suggests

plsdof
R.rsp
chemometrics
plsdepot

Enhances

pls

Reverse Imports

bootPLS
plsRbeta
plsRcox