MAclinical: Class prediction based on microarray data and clinical parameters

'Maclinical' implements class prediction using both microarray data and clinical parameters. It addresses the question of the additional predictive value of microarray data. Class prediction is performed using a two-step method combining (pre-validated) PLS dimension reduction and random forests.

Version: 1.0-5
Depends: R (≥ 2.4.1), party, plsgenomics, st, e1071
Published: 2012-10-29
Author: Anne-Laure Boulesteix.
Maintainer: Anne-Laure Boulesteix <boulesteix at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MAclinical results


Reference manual: MAclinical.pdf


Package source: MAclinical_1.0-5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MAclinical_1.0-5.tgz, r-release (x86_64): MAclinical_1.0-5.tgz, r-oldrel: MAclinical_1.0-5.tgz
Old sources: MAclinical archive


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