Data sets from Devore's "Prob and Stat for Eng (5th ed)"
Original by Jay L. Devore,
modifications by Douglas Bates <bates@stat.wisc.edu>
Data sets and sample analyses from Jay L. Devore
(2000), "Probability and Statistics for Engineering and the
Sciences (5th ed)", Duxbury.

Original by Jay L. Devore, modifications by Douglas Bates
<bates@stat.wisc.edu>
Data sets and sample analyses from Jay L. Devore (2000),
"Probability and Statistics for Engineering and the Sciences
(5th ed)", Duxbury.

Data sets from Devore's "Prob and Stat for Eng (6th ed)"
Data sets and sample analyses from Jay L. Devore
(2003), "Probability and Statistics for Engineering and the
Sciences (6th ed)", Duxbury.

Data sets and sample analyses from Jay L. Devore (2003),
"Probability and Statistics for Engineering and the Sciences
(6th ed)", Duxbury.

Data sets from Devore's "Prob and Stat for Eng (7th ed)"
Original by Jay L. Devore, modifications by Douglas Bates
<bates@stat.wisc.edu>, modifications  for 7th edition by John Verzani.
Data sets and sample analyses from Jay L. Devore (2008),
"Probability and Statistics for Engineering and the Sciences
(7th ed)", Thomson.

Original by Jay L. Devore, modifications by Douglas Bates
<bates@stat.wisc.edu>, modifications for 7th edition by John
Verzani.

Leihong Wu <leihong.wu@fda.hhs.gov>,
Weida Tong (Weida.tong@fda.hhs.gov)
Decision forest: combining the predictions of
multiple independent decision tree models.

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>.