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 (may not be active yet)
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: not available, 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.

mirror server hosted at Truenetwork, Russian Federation.