Function reference • statnnet

All functions

covariate_eff(): Difference in average prediction for values above and below median

delta_method(): Perform delta method for a function FUN to calculate associated uncertainty

hidden_node_sel(): Selects hidden layer structure

input_importance(): Determines the importance of each input

input_node_sel(): Selects input layer structure

lr_test(): Likelihood ratio test for inputs

mlesim(): Perform m.l.e. simulation for a function FUN to calculate associated uncertainty

nn_fit_tracks(): Fits various tracks (different random starting values) and chooses best model

nn_loglike(): Neural Network Normal Log-likelihood Value

nn_pred(): Neural network prediction

pdp_effect(): Partial Dependence Plot for one std. dev. increase

selectnn(): Neural network model selection

sigmoid(): Sigmoid activation function

statnnet(): statnnet

wald_test(): Wald test for inputs