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: 2026-07-02 08:50:57 UTC; root
Repository: https://lhnctr.r-universe.dev
Date/Publication: 2017-11-28 21:03:57 UTC
RemoteUrl: https://github.com/cran/Dforest
RemoteRef: HEAD
RemoteSha: 729bce90307b5e85b9e97f46178052f1dd4391d5