aggregation.misclass: Determine the missclassification rate for a fitted model

In peperr: Parallelised Estimation of Prediction Error

Determine the missclassification rate for a fitted model

Description

Evaluate the misclassification rate, i.e. prediction error, for a fitted model on new data. To use as argument aggregation.fun in peperr call.

Usage

aggregation.misclass(full.data=NULL, response, x, model, cplx=NULL,  
type=c("apparent", "noinf"), fullsample.attr = NULL, ...)

Arguments

full.data	passed from peperr, but not used for calculation of the misclassification rate.
response	vector of binary response.
x	n*p matrix of covariates.
model	model fitted with fit.fun.
cplx	passed from peperr, but not necessary for calculation of the misclassification rate.
type	character.
fullsample.attr	passed from peperr, but not necessary for calculation of the misclassification rate.
...	additional arguments, passed to predict function.

Details

Misclassification rate is the ratio of observations for which prediction of response is wrong.

Value

Scalar, indicating the misclassification rate.

peperr documentation built on March 31, 2023, 7:34 p.m.