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-4.4-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'))

Peer review:

On CRAN:

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

2 exports 1 stars 0.09 score 1 dependencies 14 scripts 682 downloads

Last updated 7 years agofrom:451c17f766. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:rotationForestrotationForestNews

Dependencies:rpart