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

Description Usage Arguments Details Value

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

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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 May 2, 2019, 4:08 a.m.