Decision Forest R package Dforest version 0.4.2 Provides R-implementation of Decision forest algorithm, which combines the predictions of multiple independent decision tree models for a consensus decision. In particular, Decision Forest is a novel pattern-recognition method which can be used to analyze: (1) DNA microarray data; (2) Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS) data; and (3) Structure-Activity Relation (SAR) data. In this package, three fundamental functions are provided, as (1)DF_train, (2)DF_pred, and (3)DF_CV. run Dforest() to see more instructions. Weida Tong (2003) <doi:10.1021/ci020058s>. Software Depends: R (>= 3.0) Imports: rpart, ggplot2, methods, stats Leihong Wu <leihong.wu@fda.hhs.gov> Comprehensive R Archive Network (CRAN) Leihong Wu <leihong.wu@fda.hhs.gov>, Weida Tong (Weida.tong@fda.hhs.gov) GPL-2 2017-11-28 application/tgz https://CRAN.R-project.org/package=Dforest doi:10.32614/CRAN.package.Dforest