yager (version 0.1.0)

grnn.partial: Derive the partial effect of a predictor used in a GRNN

Description

The function grnn.partial derives the partial effect of a predictor used in a GRNN by average-out values of the rest predictors.

Usage

grnn.partial(net, i, plot = TRUE)

Arguments

net

The GRNN object generated by grnn.fit()

i

The ith predictor in the GRNN

plot

TRUE or FALSE to plot the partial effect

Value

A plot of the partial effect or a dataframe of the partial effect

See Also

grnn.margin

Examples

Run this code
# 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)
# }
# NOT RUN {
grnn.partial(gnet, 1, plot = FALSE)
# }

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