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plsRglm (version 1.3.0)

Partial Least Squares Regression for Generalized Linear Models

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.

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Version

Install

install.packages('plsRglm')

Monthly Downloads

1,131

Version

1.3.0

License

GPL-3

Issues

5

Pull Requests

0

Stars

17

Forks

4

Maintainer

Frederic Bertrand

Last Published

March 15th, 2021

Functions in plsRglm (1.3.0)

CorMat

Correlation matrix for simulating plsR datasets
aze_compl

As aze without missing values
AICpls

AIC function for plsR models
aic.dof

Akaike and Bayesian Information Criteria and Generalized minimum description length
XpineNAX21

Incomplete dataset from the pine caterpillars example
aze

Microsatellites Dataset
XbordeauxNA

Incomplete dataset for the quality of wine dataset
Cornell

Cornell dataset
boxplots.bootpls

Boxplot bootstrap distributions
PLS_glm_wvc

Light version of PLS\_glm for cross validation purposes
PLS_lm_wvc

Light version of PLS\_lm for cross validation purposes
bootplsglm

Non-parametric Bootstrap for PLS generalized linear models
coefs.plsRglm

Coefficients for bootstrap computations of PLSGLR models
bordeaux

Quality of wine dataset
bordeauxNA

Quality of wine dataset
bootpls

Non-parametric Bootstrap for PLS models
coefs.plsRglmnp

Coefficients for bootstrap computations of PLSGLR models
coef.plsRglmmodel

coef method for plsR models
dicho

Dichotomization
cvtable

Table method for summary of cross validated PLSR and PLSGLR models
fowlkes

Fowlkes dataset
infcrit.dof

Information criteria
cv.plsRglm

Partial least squares regression glm models with k-fold cross validation
kfolds2coeff

Extracts coefficients from k-fold cross validated partial least squares regression models
loglikpls

loglikelihood function for plsR models
kfolds2Chisq

Computes Predicted Chisquare for k-fold cross-validated partial least squares regression models.
cv.plsR

Partial least squares regression models with k-fold cross-validation
coefs.plsRnp

Coefficients for bootstrap computations of PLSR models
confints.bootpls

Bootstrap confidence intervals
kfolds2Chisqind

Computes individual Predicted Chisquare for k-fold cross validated partial least squares regression models.
kfolds2Mclassedind

Number of missclassified individuals per group for k-fold cross validated partial least squares regression models.
kfolds2Mclassed

Number of missclassified individuals for k-fold cross validated partial least squares regression models.
coef.plsRmodel

coef method for plsR models
permcoefs.plsR

Coefficients for permutation bootstrap computations of PLSR models
coefs.plsR

Coefficients for bootstrap computations of PLSR models
pineNAX21

Incomplete dataset from the pine caterpillars example
pine_sup

Complete Pine dataset
pine

Pine dataset
pine_full

Complete Pine dataset
plot.table.summary.cv.plsRglmmodel

Plot method for table of summary of cross validated plsRglm models
permcoefs.plsRglm

Coefficients for permutation bootstrap computations of PLSGLR models
plot.table.summary.cv.plsRmodel

Plot method for table of summary of cross validated plsR models
kfolds2CVinfos_glm

Extracts and computes information criteria and fits statistics for k-fold cross validated partial least squares glm models
plsRglm

Partial least squares Regression generalized linear models
kfolds2CVinfos_lm

Extracts and computes information criteria and fits statistics for k-fold cross validated partial least squares models
permcoefs.plsRnp

Coefficients computation for permutation bootstrap
predict.plsRglmmodel

Print method for plsRglm models
permcoefs.plsRglmnp

Coefficients for permutation bootstrap computations of PLSGLR models
print.coef.plsRglmmodel

Print method for plsRglm models
simul_data_UniYX

Data generating function for univariate plsR models
predict.plsRmodel

Print method for plsR models
print.cv.plsRmodel

Print method for plsR models
summary.cv.plsRglmmodel

Summary method for plsRglm models
simul_data_UniYX_binom

Data generating function for univariate binomial plsR models
print.summary.plsRmodel

Print method for summaries of plsR models
tilt.bootpls

Non-parametric tilted bootstrap for PLS regression models
plsR.dof

Computation of the Degrees of Freedom
tilt.bootplsglm

Non-parametric tilted bootstrap for PLS generalized linear regression models
signpred

Graphical assessment of the stability of selected variables
summary.cv.plsRmodel

Summary method for plsR models
print.plsRmodel

Print method for plsR models
plsRglm-package

plsRglm-package
print.summary.plsRglmmodel

Print method for summaries of plsRglm models
kfolds2Pressind

Computes individual PRESS for k-fold cross validated partial least squares regression models.
print.cv.plsRglmmodel

Print method for plsRglm models
plsR

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

Data generating function for multivariate plsR models
kfolds2Press

Computes PRESS for k-fold cross validated partial least squares regression models.
plots.confints.bootpls

Plot bootstrap confidence intervals
print.coef.plsRmodel

Print method for plsR models
simul_data_complete

Data generating detailed process for multivariate plsR models
summary.plsRglmmodel

Summary method for plsRglm models
print.plsRglmmodel

Print method for plsRglm models
summary.plsRmodel

Summary method for plsR models