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plsRglm (version 1.2.5)

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

1,002

Version

1.2.5

License

GPL-3

Issues

Pull Requests

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Repository

https://github.com/fbertran/plsRglm

Homepage

http://www-irma.u-strasbg.fr/~fbertran/

Maintainer

Frederic Bertrand

Last Published

February 2nd, 2019

Functions in plsRglm (1.2.5)

Cornell dataset

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

Quality of wine dataset

Coefficients for permutation bootstrap computations of PLSR models

permcoefs.plsRglm

Coefficients for permutation bootstrap computations of PLSGLR models

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

Quality of wine dataset

plot.table.summary.cv.plsRglmmodel

Plot method for table of summary of cross validated plsRglm models

plot.table.summary.cv.plsRmodel

Plot method for table of summary of cross validated plsR models

kfolds2Mclassed

Number of missclassified individuals 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.

print.coef.plsRglmmodel

Print method for plsRglm models

print.coef.plsRmodel

Print method for plsR models

print.summary.plsRglmmodel

Print method for summaries of plsRglm models

print.summary.plsRmodel

Print method for summaries of plsR models

Complete Pine dataset

Complete Pine dataset

Computation of the Degrees of Freedom

Microsatellites Dataset

As aze without missing values

Partial least squares Regression generalized linear models

coef method for plsR models

Coefficients for bootstrap computations of PLSR models

boxplots.bootpls

Boxplot bootstrap distributions

coef.plsRglmmodel

coef method for plsR models

Coefficients for bootstrap computations of PLSR models

Table method for summary of cross validated PLSR and PLSGLR models

Incomplete dataset from the pine caterpillars example

confints.bootpls

Bootstrap confidence intervals

summary.cv.plsRmodel

Summary method for plsR models

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

summary.plsRglmmodel

Summary method for plsRglm models

loglikelihood function for plsR models

Dichotomization

Light version of PLS\_lm for cross validation purposes

permcoefs.plsRglmnp

Coefficients for permutation bootstrap computations of PLSGLR models

permcoefs.plsRnp

Coefficients computation for permutation bootstrap

summary.plsRmodel

Summary method for plsR models

Non-parametric tilted bootstrap for PLS regression models

Incomplete dataset for the quality of wine dataset

print.cv.plsRglmmodel

Print method for plsRglm models

Incomplete dataset from the pine caterpillars example

Non-parametric Bootstrap for PLS models

Akaike and Bayesian Information Criteria and Generalized minimum description length

Coefficients for bootstrap computations of PLSGLR models

predict.plsRglmmodel

Print method for plsRglm models

predict.plsRmodel

Print method for plsR models

print.cv.plsRmodel

Print method for plsR models

Non-parametric Bootstrap for PLS generalized linear models

simul_data_complete

Data generating detailed process for multivariate plsR models

coefs.plsRglmnp

Coefficients for bootstrap computations of PLSGLR models

summary.cv.plsRglmmodel

Summary method for plsRglm models

Fowlkes dataset

Information criteria

Graphical assessment of the stability of selected variables

simul_data_UniYX

Data generating function for univariate plsR models

tilt.bootplsglm

Non-parametric tilted bootstrap for PLS generalized linear regression models

kfolds2CVinfos_glm

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

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

kfolds2Chisqind

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

plots.confints.bootpls

Plot bootstrap confidence intervals

kfolds2CVinfos_lm

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

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

kfolds2Pressind

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

Partial least squares Regression models with leave one out cross validation

print.plsRglmmodel

Print method for plsRglm models

simul_data_UniYX_binom

Data generating function for univariate binomial plsR models

print.plsRmodel

Print method for plsR models

Data generating function for multivariate plsR models

AIC function for plsR models

Correlation matrix for simulating plsR datasets

Light version of PLS\_glm for cross validation purposes