folds                   Generate a list of index for the n-fold
                        cross-validation
gen_latin               Generate random numbers of latin hypercube
                        sampling
gen_sobol               Generate sobol sequence
gen_unifm               Generate Uniform random numbers
grnn.fit                Create a general regression neural network
grnn.imp                Derive the importance rank of all predictors
                        used in the GRNN
grnn.margin             Derive the marginal effect of a predictor used
                        in a GRNN
grnn.optmiz_auc         Optimize the optimal value of GRNN smoothing
                        parameter based on AUC
grnn.parpred            Calculate predicted values of GRNN by using
                        parallelism
grnn.partial            Derive the partial effect of a predictor used
                        in a GRNN
grnn.pfi                Derive the PFI rank of all predictors used in
                        the GRNN
grnn.predict            Calculate predicted values of GRNN
grnn.predone            Calculate a predicted value of GRNN
grnn.search_auc         Search for the optimal value of GRNN smoothing
                        parameter based on AUC
grnn.search_rsq         Search for the optimal value of GRNN smoothing
                        parameter based on r-square
grnn.x_imp              Derive the importance of a predictor used in
                        the GRNN
grnn.x_pfi              Derive the permutation feature importance of a
                        predictor used in the GRNN
