LibOPF: Design of Optimum-Path Forest Classifiers

The 'LibOPF' is a framework to develop pattern recognition techniques based on optimum-path forests (OPF), João P. Papa and Alexandre X. Falcão (2008) <doi:10.1007/978-3-540-89639-5_89>, with methods for supervised learning and data clustering.

Version: 2.6.2
Imports: methods
Published: 2023-02-07
Author: Rafael Junqueira Martarelli [aut, cre], João Paulo Papa [aut], Alexandre Xavier Falcão [cph]
Maintainer: Rafael Junqueira Martarelli <rfel.jm at gmail.com>
BugReports: https://github.com/RafaelJM/LibOPF-in-R/issues
License: BSD_2_clause + file LICENSE
URL: https://github.com/RafaelJM/LibOPF-in-R, https://github.com/jppbsi/LibOPF/wiki, https://www.ic.unicamp.br/~afalcao/libopf/
NeedsCompilation: yes
Materials: README
CRAN checks: LibOPF results

Documentation:

Reference manual: LibOPF.pdf

Downloads:

Package source: LibOPF_2.6.2.tar.gz
Windows binaries: r-prerel: LibOPF_2.6.2.zip, r-release: LibOPF_2.6.2.zip, r-oldrel: LibOPF_2.6.2.zip
macOS binaries: r-prerel (arm64): LibOPF_2.6.2.tgz, r-release (arm64): LibOPF_2.6.2.tgz, r-oldrel (arm64): LibOPF_2.6.2.tgz, r-prerel (x86_64): LibOPF_2.6.2.tgz, r-release (x86_64): LibOPF_2.6.2.tgz
Old sources: LibOPF archive

Linking:

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