Partial Least Squares Regression for Beta Regression Models
Non-parametric Bootstrap for PLS beta regression models
Raw coefficients function for bootstrap techniques
Coefficients function for bootstrap techniques
Coefficients for bootstrap computations of PLSBeta models
Computes Predicted Chisquare for kfold cross validated partial least s...
Computes individual Predicted Chisquare for kfold cross validated part...
Extracts and computes information criteria and fits statistics for kfo...
Bootstrap distribution of a 3 components model
Raw coefficients function for permutation bootstrap techniques
Coefficients function for permutation bootstrap techniques
Coefficients for permutation bootstrap computations of PLSBeta models
Partial least squares beta regression models
Partial least squares beta regression models
Partial least squares regression beta models with kfold cross validati...
Partial least squares regression beta models with kfold cross validati...
Light version of PLS_beta for cross validation purposes
plsRbeta-package
Partial least squares Regression beta regression models
Print method for plsRbeta models
Print method for summaries of plsRbeta models
Data generating function for univariate beta plsR models
Summary method for plsRbeta models
Non-parametric tilted bootstrap for PLS beta regression models
Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <http://journal-sfds.fr/article/view/215>) 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.
Useful links