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.

ECoL: Complexity Measures for Supervised Problems

Provides measures to characterize the complexity of classification and regression problems based on aspects that quantify the linearity of the data, the presence of informative feature, the sparsity and dimensionality of the datasets. This package provides bug fixes, generalizations and implementations of many state of the art measures. The measures are described in the papers: Lorena et al. (2019) <doi:10.1145/3347711> and Lorena et al. (2018) <doi:10.1007/s10994-017-5681-1>.

Version: 0.3.0
Imports: cluster, e1071, FNN, igraph, MASS
Suggests: testthat
Published: 2019-11-05
DOI: 10.32614/CRAN.package.ECoL
Author: Luis Garcia [aut, cre], Ana Lorena [aut, ctb]
Maintainer: Luis Garcia <lpfgarcia at icmc.usp.br>
BugReports: https://github.com/lpfgarcia/ECoL/issues
License: MIT + file LICENSE
URL: https://github.com/lpfgarcia/ECoL/
NeedsCompilation: no
CRAN checks: ECoL results

Documentation:

Reference manual: ECoL.pdf

Downloads:

Package source: ECoL_0.3.0.tar.gz
Windows binaries: r-devel: ECoL_0.3.0.zip, r-release: ECoL_0.3.0.zip, r-oldrel: ECoL_0.3.0.zip
macOS binaries: r-release (arm64): ECoL_0.3.0.tgz, r-oldrel (arm64): ECoL_0.3.0.tgz, r-release (x86_64): ECoL_0.3.0.tgz, r-oldrel (x86_64): ECoL_0.3.0.tgz
Old sources: ECoL archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ECoL 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.