Package: pchc 1.3
Michail Tsagris
pchc: Bayesian Network Learning with the PCHC and Related Algorithms
Bayesian network learning using the PCHC, FEDHC, MMHC and variants of these algorithms. PCHC stands for PC Hill-Climbing, a new hybrid algorithm that uses PC to construct the skeleton of the BN and then applies the Hill-Climbing greedy search. More algorithms and variants have been added, such as MMHC, FEDHC, and the Tabu search variants, PCTABU, MMTABU and FEDTABU. The relevant papers are: a) Tsagris M. (2021). "A new scalable Bayesian network learning algorithm with applications to economics". Computational Economics, 57(1): 341-367. <doi:10.1007/s10614-020-10065-7>. b) Tsagris M. (2022). "The FEDHC Bayesian Network Learning Algorithm". Mathematics 2022, 10(15): 2604. <doi:10.3390/math10152604>.
Authors:
pchc_1.3.tar.gz
pchc_1.3.tar.gz(r-4.5-noble)pchc_1.3.tar.gz(r-4.4-noble)
pchc_1.3.tgz(r-4.4-emscripten)
pchc.pdf |pchc.html✨
pchc/json (API)
# Install 'pchc' in R: |
install.packages('pchc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 19 days agofrom:ced2656eee. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 06 2024 |
R-4.5-linux | OK | Dec 06 2024 |
Exports:aucbig_corbig_readbn.skel.utilsbn.skel.utils2bnmatbnplotcat.testschi2testchi2test_univariateconf.edge.lowercor.fbedcor2pcorcorpairscorrelscortestdcor.fedhc.skeldcor.mmhc.skelfedhcfedhc.bootfedhc.skelfedhc.skel.bootfedtabufedtabu.bootg2testg2test_permg2test_univariateg2test_univariate_permis.dagmbmmhcmmhc.bootmmhc.skelmmhc.skel.bootmmpcmmtabummtabu.bootpc.selpchcpchc.bootpchc.skelpchc.skel.bootpcorpctabupctabu.bootpi0estrbnrbn2rbn3rmcdtopological_sort
Dependencies:bigassertrbigparallelrbigstatsrbitbnlearnclicodetoolscolorspacecowplotdcovDEoptimRdoParallelfansifarverffflockforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeparallellypillarpkgconfigpsR6RColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRcppZigguratRfastRfast2RhpcBLASctlrlangrmioRnanoflannrobustbaseRSpectrascalestibbleutf8vctrsviridisLitewithr