The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning

A system for binary and multi-class classification of high-dimensional phenotypic data using ensemble learning. By combining predictions from different classification models, this package attempts to improve performance over individual learners. The pre-processing, training, validation, and testing are performed end-to-end to minimize user input and simplify the process of classification.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: adabag, base, C50, caret, caTools, data.table, doParallel, dplyr, e1071, earth, evtree, frbs, glmnet, gmodels, hda, HDclassif, ipred, kernlab, kknn, klaR, magrittr, MASS, Matrix, mda, MLmetrics, nnet, parallel, party, pls, randomForest, rpartScore, sparseLDA, stats, themis, utils
Suggests: h2o
Published: 2023-05-17
DOI: 10.32614/CRAN.package.pheble
Author: Jay Devine [aut, cre, cph], Bened'ikt Hallgrimsson [aut]
Maintainer: Jay Devine <jay.devine1 at ucalgary.ca>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: pheble citation info
Materials: README NEWS
CRAN checks: pheble results

Documentation:

Reference manual: pheble.pdf

Downloads:

Package source: pheble_0.1.0.tar.gz
Windows binaries: r-devel: pheble_0.1.0.zip, r-release: pheble_0.1.0.zip, r-oldrel: pheble_0.1.0.zip
macOS binaries: r-release (arm64): pheble_0.1.0.tgz, r-oldrel (arm64): pheble_0.1.0.tgz, r-release (x86_64): pheble_0.1.0.tgz, r-oldrel (x86_64): pheble_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pheble to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.