findSpread: Find best spread

In Shufeng-Li/GRNNs: General Regression Neural Networks Package

Description

Find best spread

Usage

findSpread(p_train, v_train, k, fun, scale = TRUE)

Arguments

p_train	The dataframe of training predictor dataset
v_train	The dataframe of training response variables
k	The numeric number of k folds
fun	The distance function
scale	The logic statements (TRUE/FALSE)

Value

Best spread

Examples

data("met")
data("physg")
## Not run: best.spread<-findSpread(physg,met,10,"bray",scale=TRUE)

Shufeng-Li/GRNNs documentation built on Dec. 18, 2021, 1:08 p.m.