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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 |
| Reference manual: | ECoL.pdf |
| 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 |
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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.