emil.fit.pamr

Dataset, numerical matrix with observations as rows.

error.fun

Set to <code>TRUE</code> if you want to return the fitted
classifier but discard pamr's <code>cv.objects</code>, which can be large.
memory efficient. This means that the element <code>cv$cv.objects</code>
containing the cross-validated fits will be dropp

slim.fit

Cross-validation scheme for shrinkage tuning. It should
be supplied on one of the following forms:
<ul><li>Resampling scheme produced with<code><a href="/link/resample?package=emil&version=1.1-6" rd-options="" data-mini-rdoc="emil::resample">resample</a></code>or<code><a href="/link/resample.h?package=emil&version=1.1-6" rd-options="" data-mini-rdoc="emil::resample.h">resample.h</a></code></li></ul>

Wrapped version of the <code>pamr</code> package implementation. Note that
this function uses internal cross-validation for determining the value
of the shrinkage threshold.

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.

Christofer Backlin

emil

Evaluation of Modeling without Information Leakage

emil.fit.pamr function

<ul><li>threshold</li><li>...</li><li>thres.fun</li></ul>

item

<code><a href="/link/pamr.train?package=emil&version=1.1-6&to=pamr" rd-options="pamr" data-mini-rdoc="pamr::pamr.train">pamr.train</a></code>

emil.fit.pamr: Fit nearest shrunken centroids model.

Description

Usage

Arguments

Value

item

code

See Also