MAclinical: Class prediction based on microarray data and clinical parameters

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'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.

Author
Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>.
Date of publication
2012-10-29 08:57:15
Maintainer
Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>
License
GPL (>= 2)
Version
1.0-5
URLs

View on CRAN

Files in this package

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