Package: omphc 1.0

Michail Tsagris

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>.

Authors:Michail Tsagris [aut, cre], Christos Adam [aut]

omphc_1.0.tar.gz
omphc_1.0.zip(r-4.7-x86_64)omphc_1.0.zip(r-4.7-arm64)omphc_1.0.zip(r-4.6-x86_64)omphc_1.0.zip(r-4.6-arm64)
omphc_1.0.tar.gz(r-4.7-arm64)omphc_1.0.tar.gz(r-4.7-x86_64)omphc_1.0.tar.gz(r-4.6-arm64)omphc_1.0.tar.gz(r-4.6-x86_64)
omphc_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
omphc/json (API)

# Install 'omphc' in R:
install.packages('omphc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 8 exports 55 dependencies

Last updated from:3c36a6c952. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK160
linux-devel-x86_64OK133
source / vignettesOK216
linux-release-arm64OK114
linux-release-x86_64OK144
windows-devel-arm64OK315
windows-devel-x86_64OK161
windows-release-arm64OK233
windows-release-x86_64OK143
wasm-releaseOK105

Exports:bnmatbnplotomp.networkomphcrbnrbn2rbn3update.skel

Dependencies:BHbigassertrbigparallelrbigstatsrbitbnlearnclicodetoolscowplotcpp11dcovDEoptimRdoParallelfarverffflockforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMatrixparallellypchcpillarpkgconfigpsR6rangenRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRfastRfast2RhpcBLASctlrlangrmioRnanoflannrobustbaseRSpectraS7scalestibbleutf8vctrsviridisLitewithrzigg