CFA_data                CFA example data
GSPCRexdata             GSPCR example data
LL_baseline             Baseline category logistic regression
                        log-likelihood
LL_binomial             Binomial log-likelihood
LL_cumulative           Proportional odds model log-likelihood
LL_gaussian             Gaussian log-likelihood
LL_newdata              Log-Likelihood for new data
LL_poisson              Poisson regression log-likelihood
compute_sc              Compute the GLM systematic component.
cp_AIC                  Compute Akaike's information criterion
cp_BIC                  Compute bayesian information criterion
cp_F                    Compute F statistic
cp_LRT                  Compute likelihood ratio test
cp_gR2                  Compute generalized R-squared
cp_thrs_LLS             Compute threshold values based on
                        Log-likelihood values
cp_thrs_NOR             Compute normalized association measure
cp_thrs_PR2             Compute threshold values based on the pseudo R2
cp_validation_fit       Compute fit measure(s) on the validation data
                        set
cv_average              Average fit measures computed in the K-fold
                        cross-validation procedure
cv_choose               Cross-validation choice
cv_gspcr                Cross-validation of Generalized Principal
                        Component Regression
est_gspcr               Estimate Generalized Principal Component
                        Regression
est_univ_mods           Estimate simple GLM models
pca_mix                 PCA of a mixture of numerical and categorical
                        data
plot.gspcrcv            Plot the cross-validation solution path for the
                        GSPCR algorithm
predict.gspcrout        Predict GSPCR model dependent variable scores
