CRAN/E | Dforest

Dforest

Decision Forest

Installation

About

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.

Key Metrics

Version 0.4.2
R ≥ 3.0
Published 2017-11-28 2332 days ago
Needs compilation? no
License GPL-2
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Maintainer

Maintainer

Leihong Wu

leihong.wu@fda.hhs.gov

Authors

Leihong Wu
Weida Tong

(Weida.tong@fda.hhs.gov)

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Dforest archive

Depends

R ≥ 3.0

Imports

rpart
ggplot2
methods
stats