aggregation.misclass

passed from <code>peperr</code>, but not used for calculation of the misclassification rate.

full.data

response

<code>n*p</code> matrix of covariates.

model fitted with <code>fit.fun</code>.

model

passed from <code>peperr</code>, but not necessary for calculation of the misclassification rate.

cplx

type

fullsample.attr

additional arguments, passed to <code>predict</code> function.

&#8230;

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

models

regression

survival

Designed for prediction error estimation
through resampling techniques, possibly accelerated by parallel
execution on a compute cluster. Newly developed model fitting
routines can be easily incorporated. Methods used in the package are detailed in
Porzelius Ch., Binder H. and Schumacher M. (2009) <doi:10.1093/bioinformatics/btp062>
and were used, for instance, in
Porzelius Ch., Schumacher M.and Binder H. (2011) <doi:10.1007/s00180-011-0236-6>.

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

Description

Usage

Arguments

Value

Details