r - Test for Heteroscedasticity on a caret nnet model -


is there function within caret (or package) can perform breusch-pagan / cook-weisberg test heteroskedasticity on 'nnet' model trained using caret?

e.g. similar library(car); ncvtest or library(lmtest); bptest lm objects, works on nnet objects created caret?

example data

library(caret) set.seed(4) n <- 100     x1i <- rnorm(n) x2i <- rnorm(n) yi  <- rnorm(n)  dat <- data.frame(yi, x1i, x2i)  mod <- train(yi ~., data=dat, method="nnet", trace=false, linout=true)

this produces plot of fitted vs residuals:

enter image description here

no there not in package right now.


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