aggregation.misclass

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>.

Frederic Bertrand

peperr

Parallelised Estimation of Prediction Error

aggregation.misclass function

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

Arguments

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

<dl>

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

<dt>response</dt>
<dd>vector of binary response.</dd>

<dt>x</dt>
<dd><code>n*p</code> matrix of covariates.</dd>

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

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

<dt>type</dt>
<dd>character.</dd>

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

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

</dl>

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

Description

Usage

Value

Arguments

Details