bootfs: Derive Robust Feature Sets for Two or Multiclass Classification Problems
Version 1.4.5

In order to select a set of features used for successful classification of two or more groups of samples, multiple classification and feature selection algorithms are utilised. By combining the results of all methods and applying a bootstrapping approach a robust set of features with high power to distinguish the sample groups is selected.

Package details

AuthorChristian Bender
Date of publication2016-02-07 14:37:37
MaintainerChristian Bender <>
LicenseGPL (>=2)
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("bootfs", repos="")

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bootfs documentation built on May 31, 2017, 4:05 a.m.