CRAN/E | plsRbeta

plsRbeta

Partial Least Squares Regression for Beta Regression Models

Installation

About

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.

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

Key Metrics

Version 0.3.0
R ≥ 3.5.0
Published 2023-03-15 574 days ago
Needs compilation? no
License GPL-3
CRAN checks plsRbeta results

Downloads

Yesterday 6 +100%
Last 7 days 53 -55%
Last 30 days 317 -12%
Last 90 days 991 +7%
Last 365 days 3.935 +1%

Maintainer

Maintainer

Frederic Bertrand

[email protected]

Authors

Frederic Bertrand

cre / aut

Myriam Maumy-Bertrand

aut

Material

README
Reference manual
Package source

In Views

MissingData

Vignettes

Partial Least Squares Regression for Beta Regression Models

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

plsRbeta archive

Depends

R ≥ 3.5.0

Imports

mvtnorm
boot
Formula
MASS
plsRglm
betareg
methods

Suggests

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