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: Ho and Basu (2002) <doi:10.1109/34.990132> and Lorena et al. (2018) <doi:10.1007/s10994-017-5681-1>.

Version: 0.2.0
Imports: cluster, e1071, FNN, igraph, MASS
Published: 2019-02-26
Author: Luis Garcia [aut, cre], Ana Lorena [aut, ctb]
Maintainer: Luis Garcia <lpfgarcia at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: ECoL results


Reference manual: ECoL.pdf
Package source: ECoL_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: ECoL_0.2.0.tgz, r-oldrel: ECoL_0.2.0.tgz
Old sources: ECoL archive


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