pre.pamr

A logical vector with <code>FALSE</code> for fitting observations,
<code>TRUE</code> for test observations and <code>NA</code> for observations not
to be included.

fold

pre.process

The predict framework is designed to work with dataset where rows correspond
to observations and columns to descriptors. PAMR wants it the other way, and
also to have the fitting set response vector supplied in a list with the
descriptors. This function applies a standard pre-processing function and
then reformats the result to satisfy PAMR.

A toolbox for designing and evaluating predictive models with
    resampling methods. The aim of this package is to provide a simple and
    efficient general framework for working with any type of prediction
    problem, be it classification, regression or survival analysis, that is
    easy to extend and adapt to your specific setting. Some commonly used
    methods for classification, regression and survival analysis are included.

pre.pamr: PAMR adapted dataset pre-processing

Description

Usage

Arguments

Value

See Also