Learn R Programming
⚠️There's a newer version (1.5.1) of this package.Take me there.

plsRglm (version 0.7.4)

Partial least squares Regression for generalized linear models

Description

This packages provides Partial least squares Regression for generalized linear models and kfold crossvalidation of such models using various criteria. It allows for missing data in the eXplanatory variables. Bootstrap confidence intervals constructions are also available.

Copy Link

Version

Install

install.packages('plsRglm')

Monthly Downloads

1,131

Version

0.7.4

License

GPL-3

Maintainer

Frederic Bertrand

Last Published

April 11th, 2011

Functions in plsRglm (0.7.4)

aic.dof

Akaike and Bayesian Information Criteria and Generalized minimum description length
XpineNAX21

Missing data analysis for the pine dataset
PLS_v1

Partial least squares Regression models with leave one out cross validation
PLS_glm_kfoldcv_formula

Partial least squares regression glm models with kfold cross validation
PLS_v2

Partial least squares Regression generalized linear models
PLS_lm

Partial least squares Regression models with leave one out cross validation
kfolds2Chisqind

Computes individual Predicted Chisquare for kfold cross validated partial least squares regression models.
PLS_glm_kfoldcv

Partial least squares regression glm models with kfold cross validation
AICpls

AIC function for plsR models
PLS_lm_kfoldcv_formula

Partial least squares regression models with kfold cross validation
kfolds2CVinfos_lm

Extracts and computes information criteria and fits statistics for kfold cross validated partial least squares models
confints.bootpls

Bootstrap confidence intervals
PLS_glm_wvc

Light version of PLS_glm for cross validation purposes
PLS_v2_kfoldcv

Partial least squares regression glm models with kfold cross validation
Cornell

Cornell dataset
pine_sup

Supplementary data for pine dataset
coefs.plsR

Coefficients for bootstrap computations
tilt.bootplsglm

Tilted bootstrap for PLS models
permcoefs.plsRglm

Coefficients computation for permutation bootstrap
kfolds2Chisq

Computes Predicted Chisquare for kfold cross validated partial least squares regression models.
simul_data_UniYX_old

Deprecated version of the data generating function for univariate plsR models
PLS_glm

Partial least squares Regression generalized linear models
kfolds2Mclassedind

Number of missclassified individuals per group for kfold cross validated partial least squares regression models.
print.plsRglmmodel

Print method for plsRglm models
kfolds2Press

Computes PRESS for kfold cross validated partial least squares regression models.
boxplots.bootpls

Boxplot bootstrap distributions
simul_data_UniYX

Data generating function for univariate plsR models
plsR

Partial least squares Regression models with leave one out cross validation
coefs.plsRglm

Coefficients for bootstrap computations
permcoefs.plsR

Coefficients computation for permutation bootstrap
PLS_v1_kfoldcv

Partial least squares regression models with kfold cross validation
loglikpls

loglikelihood function for plsR models
infcrit.dof

Information criteria
kfolds2Mclassed

Number of missclassified individuals for kfold cross validated partial least squares regression models.
plsRglm-package

Partial least squares Regression for generalized linear models
PLS_lm_kfoldcv

Partial least squares regression models with kfold cross validation
print.plsRmodel

Print method for plsR models
kfolds2CVinfos_v2

Extracts and computes information criteria and fits statistics for kfold cross validated partial least squares glm models
tilt.bootpls

Tilted bootstrap for PLS models
simul_data_YX

Data generating function for multivariate plsR models
print.summary.plsRmodel

Print method for summaries of plsR models
simul_data_complete

Data generating detailed process for multivariate plsR models
fowlkes

Fowlkes dataset
kfolds2Pressind

Computes individual PRESS for kfold cross validated partial least squares regression models.
plots.confints.bootpls

Plot bootstrap confidence intervals
aze_compl

As aze without missing values
PLS_lm_wvc

Light version of PLS_lm for cross validation purposes
aze

Microsat Dataset
plsR.dof

Computation of the Degrees of Freedom
print.summary.plsRglmmodel

Print method for summaries of plsRglm models
PLS_glm_formula

Partial least squares Regression generalized linear models
PLS_lm_formula

Partial least squares Regression models with leave one out cross validation
summary.plsRglmmodel

Summary method for plsRglm models
CorMat

Correlation matrix for simulating plsR datasets
plsRglm

Partial least squares Regression generalized linear models
PLS_v1_wvc

Light version of PLS_v1 for cross validation purposes
XbordeauxNA

Missing data analysis for the quality of wine dataset
bootplsglm

Non-parametric Bootstrap for PLS generalized linear models
kfolds2CVinfos_glm

Extracts and computes information criteria and fits statistics for kfold cross validated partial least squares glm models
bootpls

Non-parametric Bootstrap for PLS models
OLD_PLS_v2_vc

Former plsRglm function
PLS_v2_wvc

Light version of PLS_v2 for cross validation purposes
kfolds2CVinfos_v1

Extracts and computes information criteria and fits statistics for kfold cross validated partial least squares models
pine_full

Full pine dataset
bordeaux

Quality of wine dataset
summary.plsRmodel

Summary method for plsR models
dicho

Dichotomization
kfolds2coeff

Extracts coefficients from kfold cross validated partial least squares regression models
pine

Pine dataset