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Bayesian network learning using the PCHC algorithm. 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>.
| Version: | 1.2 |
| Depends: | R (≥ 4.0) |
| Imports: | bigstatsr, bnlearn, dcov, foreach, doParallel, parallel, Rfast, Rfast2, robustbase, stats |
| Suggests: | bigreadr, Rgraphviz |
| Published: | 2023-09-06 |
| DOI: | 10.32614/CRAN.package.pchc |
| Author: | Michail Tsagris [aut, cre] |
| Maintainer: | Michail Tsagris <mtsagris at uoc.gr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | GraphicalModels |
| CRAN checks: | pchc results |
| Reference manual: | pchc.pdf |
| Package source: | pchc_1.2.tar.gz |
| Windows binaries: | r-devel: pchc_1.2.zip, r-release: pchc_1.2.zip, r-oldrel: pchc_1.2.zip |
| macOS binaries: | r-release (arm64): pchc_1.2.tgz, r-oldrel (arm64): pchc_1.2.tgz, r-release (x86_64): pchc_1.2.tgz, r-oldrel (x86_64): pchc_1.2.tgz |
| Old sources: | pchc archive |
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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.