The function grnn.margin derives the marginal effect of a predictor used in a GRNN by assuming mean values for the rest predictors
grnn.margin
grnn.margin(net, i, plot = TRUE)
The GRNN object generated by grnn.fit()
The ith predictor in the GRNN
TRUE or FALSE to plot the marginal effect
A plot of the marginal effect or a dataframe of the marginal effect
grnn.partial
# NOT RUN { data(iris, package = "datasets") Y <- ifelse(iris[, 5] == "setosa", 1, 0) X <- scale(iris[, 1:4]) gnet <- grnn.fit(x = X, y = Y) grnn.margin(gnet, 1, plot = FALSE) # }
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