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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- 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