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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 [aut, cre, cph], Angélica Hernández Quintero [aut, cph], Pedro Abraham Montoya Calzada [aut, cph], Carlos Alberto López Hernández [aut, cph], Juan Manuel Marquez Romero [aut, cph] |
Maintainer: | Rogelio Salinas Gutiérrez <rsalinas at correo.uaa.mx> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | MLCOPULA results |
Reference manual: | MLCOPULA.pdf |
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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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.