MLCOPULA: Classification Models with Copula Functions

Provides several classifiers based on probabilistic models. These classifiers allow to model the dependence structure of continuous features through bivariate copula functions and graphical models, see Salinas-Gutiérrez et al. (2014) <doi:10.1007/s00180-013-0457-y>.

Version: 1.0.1
Imports: copula, igraph, GRIDCOPULA, kde1d, pracma, TSP
Published: 2024-10-23
DOI: 10.32614/CRAN.package.MLCOPULA
Author: Rogelio Salinas Gutiérrez ORCID iD [aut, cre, cph], Angélica Hernández Quintero ORCID iD [aut, cph], Pedro Abraham Montoya Calzada ORCID iD [aut, cph], Carlos Alberto López Hernández ORCID iD [aut, cph], Juan Manuel Marquez Romero ORCID iD [aut, cph]
Maintainer: Rogelio Salinas Gutiérrez <rsalinas at correo.uaa.mx>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: MLCOPULA results

Documentation:

Reference manual: MLCOPULA.pdf

Downloads:

Package source: MLCOPULA_1.0.1.tar.gz
Windows binaries: r-devel: MLCOPULA_1.0.1.zip, r-release: MLCOPULA_1.0.1.zip, r-oldrel: MLCOPULA_1.0.1.zip
macOS binaries: r-release (arm64): MLCOPULA_1.0.1.tgz, r-oldrel (arm64): MLCOPULA_1.0.1.tgz, r-release (x86_64): MLCOPULA_1.0.1.tgz, r-oldrel (x86_64): MLCOPULA_1.0.1.tgz
Old sources: MLCOPULA archive

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