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plsRglm (version 0.3.3)

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.

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Version

Install

install.packages('plsRglm')

Monthly Downloads

1,131

Version

0.3.3

License

GPL-3

Maintainer

Frederic Bertrand

Last Published

October 5th, 2010

Functions in plsRglm (0.3.3)

kfolds2CVinfos_glm

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

AIC functions for plsR models
PLS_glm_wvc

Light version of PLS_glm for cross validation purposes
kfolds2CVinfos_v1

Extracts and computes information criteria and fits statistics for kfold cross validated partial least squares models
PLS_v1

Partial least squares Regression models with leave one out cross validation
PLS_v2

Partial least squares Regression generalized linear models
kfolds2Mclassed

Number of missclassified individuals for kfold cross validated partial least squares regression models.
bordeaux

Quality of wine dataset
OLD_PLS_v2_vc

Former plsRglm function
permcoefs.plsRglm

Coefficients computation for permutation bootstrap
pine

Pine dataset
XbordeauxNA

Missing data analysis for the quality of wine dataset
kfolds2CVinfos_v2

Extracts and computes information criteria and fits statistics for kfold cross validated partial least squares glm models
PLS_v1_kfoldcv

Partial least squares regression models with kfold cross validation
plots.confints.bootpls

Plot bootstrap confidence intervals
print.plsRglmmodel

Print method for plsRglm models
pine_sup

Supplementary data for pine dataset
CorMat

Correlation matrix for simulating plsR datasets
summary.plsRglmmodel

Summary method for plsRglm models
PLS_lm_wvc

Light version of PLS_lm for cross validation purposes
bootplsglm

Non-parametric Bootstrap for PLS generalized linear models
print.summary.plsRmodel

Print method for summaries of plsR models
PLS_v2_kfoldcv

Partial least squares regression glm models with kfold cross validation
coefs.plsR

Coefficients for bootstrap computations
kfolds2Pressind

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

Non-parametric Bootstrap for PLS models
PLS_glm

Partial least squares Regression generalized linear models
kfolds2Chisq

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

Data generating function for multivariate plsR models
summary.plsRmodel

Summary method for plsR models
boxplots.bootpls

Boxplot bootstrap distributions
aze

Microsat Dataset
pine_full

Full pine dataset
kfolds2Mclassedind

Number of missclassified individuals per group for kfold cross validated partial least squares regression models.
kfolds2Chisqind

Computes individual Predicted Chisquare for kfold cross validated partial least squares regression models.
PLS_v1_wvc

Light version of PLS_v1 for cross validation purposes
fowlkes

Fowlkes dataset
plsRglmmodel.default

Partial least squares Regression generalized linear models
Cornell

Cornell dataset
kfolds2coeff

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

Dichotomization
PLS_lm

Partial least squares Regression models with leave one out cross validation
plsRmodel.default

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

loglikelihood functions for plsR models
PLS_glm_kfoldcv

Partial least squares regression glm models with kfold cross validation
aze_compl

As aze without missing values
print.plsRmodel

Print method for plsR models
permcoefs.plsR

Coefficients computation for permutation bootstrap
PLS_lm_kfoldcv

Partial least squares regression models with kfold cross validation
print.summary.plsRglmmodel

Print method for summaries of plsRglm models
simul_data_UniYX_old

Deprecated version of the data generating function for univariate plsR models
PLS_v2_wvc

Light version of PLS_v2 for cross validation purposes
plsRglm

Partial least squares Regression generalized linear models
confints.bootpls

Bootstrap confidence intervals
tilt.bootplsglm

Tilted bootstrap for PLS models
coefs.plsRglm

Coefficients for bootstrap computations
XpineNAX21

Missing data analysis for the pine dataset
kfolds2Press

Computes PRESS for kfold cross validated partial least squares regression models.
kfolds2CVinfos_lm

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

Data generating detailed process for multivariate plsR models
tilt.bootpls

Tilted bootstrap for PLS models
simul_data_UniYX

Data generating function for univariate plsR models
plsR

Partial least squares Regression models with leave one out cross validation
plsRglm-package

Partial least squares Regression for generalized linear models