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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "Dforest" in publications use:'
type: software
license: GPL-2.0-only
title: 'Dforest: Decision Forest'
version: 0.4.2
doi: 10.32614/CRAN.package.Dforest
abstract: '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) <https://doi.org/10.1021/ci020058s>.'
authors:
- family-names: Wu
  given-names: Leihong
  email: leihong.wu@fda.hhs.gov
- family-names: Tong
  given-names: Weida
repository: https://lhnctr.r-universe.dev
commit: 729bce90307b5e85b9e97f46178052f1dd4391d5
date-released: '2017-11-28'
contact:
- family-names: Wu
  given-names: Leihong
  email: leihong.wu@fda.hhs.gov