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rotationForest  

Fit and Deploy Rotation Forest Models
View on CRAN: Click here


Download and install rotationForest package within the R console
Install from CRAN:
install.packages("rotationForest")

Install from Github:
library("remotes")
install_github("cran/rotationForest")

Install by package version:
library("remotes")
install_version("rotationForest", "0.1.3")



Attach the package and use:
library("rotationForest")
Maintained by
Michel Ballings
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-05-18
Latest Update: 2017-04-16
Description:
Fit and deploy rotation forest models ("Rodriguez, J.J., Kuncheva, L.I., 2006. Rotation forest: A new classifier ensemble method. IEEE Trans. Pattern Anal. Mach. Intell. 28, 1619-1630 <doi:10.1109/TPAMI.2006.211>") for binary classification. Rotation forest is an ensemble method where each base classifier (tree) is fit on the principal components of the variables of random partitions of the feature set.
How to cite:
Michel Ballings (2015). rotationForest: Fit and Deploy Rotation Forest Models. R package version 0.1.3, https://cran.r-project.org/web/packages/rotationForest
Previous versions and publish date:
0.1 (2015-05-18 01:14)
Other packages that cited rotationForest R package
View rotationForest citation profile
Other R packages that rotationForest depends, imports, suggests or enhances
Functions, R codes and Examples using the rotationForest R package
Some associated functions: predict.rotationForest . rotationForest . rotationForestNews . 
Some associated R codes: predict.rotationForest.R . rotationForest.R . rotationForestNews.R . zzz.R .  Full rotationForest package functions and examples
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