predict_pamr

object

Dataset of observations to be classified.

Threshold to use for classification. This argument is only
needed if you want to override the value set during model fitting.

threshold

Threshold selection function. Only needed if you want to
override the function set during model fitting.

thres_fun

Sent to <code><a href="/link/pamr.predict?package=emil&version=2.0.2&to=pamr" rd-options="pamr" data-mini-rdoc="pamr::pamr.predict">pamr.predict</a></code>.

In case multiple thresholds give the same error the largest one is chosen
(i.e. the one keeping the fewest features).

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.

predict_pamr: Prediction using nearest shrunken centroids.

Description

Usage

Arguments

Value

See Also