Package: rotationForest 0.1.3

rotationForest: Fit and Deploy Rotation Forest Models

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.

Authors:Michel Ballings and Dirk Van den Poel

rotationForest_0.1.3.tar.gz
rotationForest_0.1.3.zip(r-4.5)rotationForest_0.1.3.zip(r-4.4)rotationForest_0.1.3.zip(r-4.3)
rotationForest_0.1.3.tgz(r-4.5-any)rotationForest_0.1.3.tgz(r-4.4-any)rotationForest_0.1.3.tgz(r-4.3-any)
rotationForest_0.1.3.tar.gz(r-4.5-noble)rotationForest_0.1.3.tar.gz(r-4.4-noble)
rotationForest_0.1.3.tgz(r-4.4-emscripten)rotationForest_0.1.3.tgz(r-4.3-emscripten)
rotationForest.pdf |rotationForest.html
rotationForest/json (API)
NEWS

# Install 'rotationForest' in R:
install.packages('rotationForest', repos = c('https://ballings.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.20 score 1 stars 16 scripts 831 downloads 2 exports 1 dependencies

Last updated 8 years agofrom:451c17f766. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-winOKMar 11 2025
R-4.5-macOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-winOKMar 11 2025
R-4.4-macOKMar 11 2025
R-4.4-linuxOKMar 11 2025
R-4.3-winOKMar 11 2025
R-4.3-macOKMar 11 2025

Exports:rotationForestrotationForestNews

Dependencies:rpart