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.

Install the latest version of this package by entering the following in R:
install.packages("MAclinical")
AuthorAnne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>.
Date of publication2012-10-29 08:57:15
MaintainerAnne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>
LicenseGPL (>= 2)
Version1.0-5
http://cran.r-project.org/web/packages/MAclinical/index.html

View on CRAN

Functions

Files

NAMESPACE
man
man/plsrf_xz.rd
man/plsrf_xz_pv.rd
man/plsrf_x.rd
man/generate.learningsets.rd
man/svm.rd
man/rf_z.rd
man/testclass.rd
man/logistic_z.rd
man/testclass_simul.rd
man/simulate.rd
man/plsrf_x_pv.rd
DESCRIPTION
MD5
R
R/generate.learningsets.r R/logistic_z.r R/plsrf_x.r R/testclass.r R/plsrf_x_pv.r R/svm_x.r R/plsrf_xz.r R/testclass_simul.r R/simulate.r R/plsrf_xz_pv.r R/rf_z.r

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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