Package: Dforest
Type: Package
Title: Decision Forest
Version: 0.4.2
Date: 2017-11-28
Author: Leihong Wu <leihong.wu@fda.hhs.gov>,
    Weida Tong (Weida.tong@fda.hhs.gov)
Maintainer: Leihong Wu <leihong.wu@fda.hhs.gov>
Depends: R (>= 3.0)
Imports: rpart, ggplot2, methods, stats
Description: 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>.
License: GPL-2
LazyLoad: yes
LazyData: yes
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 6.0.1
Packaged: 2017-11-28 19:17:32 UTC; Leihong.Wu
Repository: CRAN
Date/Publication: 2017-11-28 22:03:57 UTC
Built: R 4.0.2; ; 2020-08-02 14:45:13 UTC; windows
