SQB

Sequential Bagging on Regression

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.

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Description file content

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
Maintainer
Moshu Xie
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

install.packages('SQB')

0.4

2 months ago

Moshu Xie

GPL-2

Depends on

R (>= 3.2.5), rpart , parallel, caret, nnet, pls

Suggests

MASS

Discussions