Package: SQB
Title: Sequential Bagging on Regression
Description: Methodology: Remove one observation. Training the rest of data that are sampled without replacement and given this observation's input, predict the response back. Replicate this N times and for each response, take a sample from these replicates with replacement. Average each responses of sample and again replicate this step N time for each observation. Approximate these N new responses by using bootstrap method and generate another N responses y'. Training these y' and predict to have N responses of each testing observation. The average of N is the final prediction. Each observation will do the same.
Version: 0.4
Author: Moshu Xie <mxie622@gmail.com>
Maintainer: Moshu Xie <mxie622@gmail.com>
Depends: R (>= 3.2.5), rpart , parallel, caret, nnet, pls
Suggests: MASS
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-07-07 02:19:27 UTC; mikexie
Repository: CRAN
Date/Publication: 2018-07-07 23:00:02 UTC
Built: R 4.0.2; ; 2020-07-17 11:04:58 UTC; unix
