New Package: ipred - Improved predictors

[Andrea Peters]

The package ipred is uploaded to CRAN.

The main focus of the package is the calculation of improved predictors
in classification tasks. Misclassification error can be improved by
bootstrap aggregated classification trees and/or
the framework of indirect classification. Furthermore, a unified
interface for the estimation of misclassification error
completes the features of ipred.

We try to make the interface as general as possible, however nothing is
carved in stone and suggestions for improvement are very welcome.

The DESCRIPTION file:

Package: ipred
Title: Improved Predictors
Version: 0.4-1
Date: $Date: 2002/04/08 15:41:37 $
Author: Andrea Peters <Andrea.Peters at imbe.imed.uni-erlangen.de> and
  Torsten Hothorn <Torsten.Hothorn at rzmail.uni-erlangen.de>
Maintainer: Andrea Peters <Andrea.Peters at imbe.imed.uni-erlangen.de>
Description: Improved predictive models by direct and indirect
  bootstrap aggregation in classification and regression as well as
  resampling based estimators of prediction error.
Depends: rpart, MASS, mlbench
License: GPL


Regards,
Andrea


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        Dipl.-Stat. Andrea Peters
        Institut fr Medizininformatik, Biometrie und Epidemiologie
        Waldstrasse 6, D-91054 Erlangen, Deutschland
        Tel: ++49-9131-85-22722
        Fax: ++49-9131-85-25740

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