Function reference • plsRbeta

All functions
`PLS_beta()`	Partial least squares beta regression models
`PLS_beta_formula()`	Partial least squares beta regression models
`PLS_beta_kfoldcv()`	Partial least squares regression beta models with kfold cross validation
`PLS_beta_kfoldcv_formula()`	Partial least squares regression beta models with kfold cross validation
`PLS_beta_wvc()`	Light version of PLS_beta for cross validation purposes
`TxTum`	Cancer infiltration rates
`TxTum.mod.bootBC1`	Bootstrap distribution TxTum BC1 model
`TxTum.mod.bootBR6`	Bootstrap distribution TxTum BR6 model
`bootplsbeta()`	Non-parametric Bootstrap for PLS beta regression models
`coefs.plsRbeta()`	Coefficients function for bootstrap techniques
`coefs.plsRbeta.raw()`	Raw coefficients function for bootstrap techniques
`coefs.plsRbetanp()`	Coefficients for bootstrap computations of PLSBeta models
`colon`	Tumor rate and spectral data
`ind_BCa_nt1BC`	ind_BCa_nt1BC
`ind_BCa_nt1BR`	ind_BCa_nt1BR
`ind_BCa_nt2BC`	ind_BCa_nt2BC
`ind_BCa_nt2BR`	ind_BCa_nt2BR
`ind_BCa_nt3`	ind_BCa_nt3
`ind_BCa_nt3BC`	ind_BCa_nt3BC
`ind_BCa_nt3BR`	ind_BCa_nt3BR
`ind_BCa_nt4BC`	ind_BCa_nt4BC
`ind_BCa_nt4BR`	ind_BCa_nt4BR
`ind_BCa_nt5BC`	ind_BCa_nt5BC
`ind_BCa_nt5BR`	ind_BCa_nt5BR
`ind_BCa_nt6BC`	ind_BCa_nt6BC
`ind_BCa_nt6BR`	ind_BCa_nt6BR
`kfolds2CVinfos_beta()`	Extracts and computes information criteria and fits statistics for kfold cross validated partial least squares beta regression models
`kfolds2Chisq()`	Computes Predicted Chisquare for kfold cross validated partial least squares beta regression models.
`kfolds2Chisqind()`	Computes individual Predicted Chisquare for kfold cross validated partial least squares beta regression models.
`modpls.boot3`	Bootstrap distribution of a 3 components model
`modpls_sub4`	A plsRbetamodel model on a data subset
`permcoefs.plsRbeta()`	Coefficients function for permutation bootstrap techniques
`permcoefs.plsRbeta.raw()`	Raw coefficients function for permutation bootstrap techniques
`permcoefs.plsRbetanp()`	Coefficients for permutation bootstrap computations of PLSBeta models
`plsRbeta-package`	plsRbeta-package
`plsRbeta()` `plsRbetamodel(<default>)` `plsRbetamodel(<formula>)`	Partial least squares Regression beta regression models
`print(<plsRbetamodel>)`	Print method for plsRbeta models
`print(<summary.plsRbetamodel>)`	Print method for summaries of plsRbeta models
`simul_data_UniYX_beta()`	Data generating function for univariate beta plsR models
`summary(<plsRbetamodel>)`	Summary method for plsRbeta models
`tilt.bootplsbeta()`	Non-parametric tilted bootstrap for PLS beta regression models

Reference

All functions