grnn.pfi {yager}

Derive the PFI rank of all predictors used in the GRNN

Description

The function grnn.pfi derives the PFI rank of all predictors used in the GRNN It essentially is a wrapper around the function grnn.x_pfi.

Usage

grnn.pfi(net, class = FALSE, ntry = 1000, seed = 1)

Arguments

net

The GRNN object generated by grnn.fit()

class

TRUE or FALSE, whether it is for the classification or not

ntry

The number of random permutations to try, 1e3 times by default

seed

The seed value for the random permutation

Value

A dataframe with PFI values of all predictors in the GRNN

See Also

grnn.x_pfi

Examples

data(iris, package = "datasets")
Y <- ifelse(iris[, 5] == "setosa", 1, 0)
X <- scale(iris[, 1:3])
gnet <- grnn.fit(x = X, y = Y)
## Not run: 
grnn.pfi(net = gnet, class = TRUE)

## End(Not run)