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omphc: Bayesian Network Learning Using the OMP Algorithm

Bayesian network learning using the orthogonal matching pursuit to perform variable selection and then application of the Hill-Climbing greedy search or the TABU search to orient the edges. Some relevant papers are Tsagris M. and Adam C. (2026) <doi:10.13140/RG.2.2.26278.28489>, Tsagris M. (2021) <doi:10.1007/s10614-020-10065-7>, Tsagris M. (2022) <doi:10.3390/math10152604>, Tsagris et al. (2022) <doi:10.1109/TCBB.2020.3029952>, Tsamardinos I., Brown L.E. and Aliferis C.F. (2006) <doi:10.1007/s10994-006-6889-7>, Mallat S. G. and Zhang Z. (1993) <doi:10.1109/78.258082>.

Version: 1.0
Depends: R (≥ 4.0)
Imports: bnlearn, pchc, Rcpp, Rfast, stats
LinkingTo: Rcpp, RcppArmadillo
Published: 2026-11-07
DOI: 10.32614/CRAN.package.omphc
Author: Michail Tsagris [aut, cre], Christos Adam ORCID iD [aut]
Maintainer: Michail Tsagris <mtsagris at uoc.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: omphc results

Documentation:

Reference manual: omphc.html , omphc.pdf

Downloads:

Package source: omphc_1.0.tar.gz
Windows binaries: r-devel: omphc_1.0.zip, r-release: omphc_1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): omphc_1.0.tgz, r-oldrel (arm64): omphc_1.0.tgz, r-release (x86_64): omphc_1.0.tgz, r-oldrel (x86_64): omphc_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=omphc to link to this page.

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.
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