grnn.pfi: Derive the PFI rank of all predictors used in the GRNN
In yager: Yet Another General Regression Neural Network

Description Usage Arguments Value See Also Examples

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.

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

`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

A dataframe with PFI values of all predictors in the GRNN

grnn.x_pfi

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)