Yet Another General Regression Neural Network

Documentation for package ‘yager’ version 0.1.1

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