Package index • 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() plsRbetamodel(): 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