Yet Another General Regression Neural Network
Search for the optimal value of GRNN smoothing parameter based on AUC
Calculate a predicted value of GRNN
Search for the optimal value of GRNN smoothing parameter based on r-sq...
Derive the importance of a predictor used in the GRNN
Derive the permutation feature importance of a predictor used in the G...
Generate a list of index for the n-fold cross-validation
Generate random numbers of latin hypercube sampling
Generate sobol sequence
Generate Uniform random numbers
Create a general regression neural network
Derive the importance rank of all predictors used in the GRNN
Derive the marginal effect of a predictor used in a GRNN
Optimize the optimal value of GRNN smoothing parameter based on AUC
Calculate predicted values of GRNN by using parallelism
Derive the partial effect of a predictor used in a GRNN
Derive the PFI rank of all predictors used in the GRNN
Calculate predicted values of GRNN
Another implementation of general regression neural network in R based on Specht (1991) <DOI:10.1109/72.97934>. It is applicable to the functional approximation or the classification.