The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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>.
| Version: | 1.3 |
| Depends: | R (≥ 4.0) |
| Imports: | bigstatsr, bnlearn, dcov, foreach, doParallel, parallel, Rfast, Rfast2, robustbase, stats |
| Suggests: | bigreadr, Rgraphviz |
| Published: | 2024-12-06 |
| 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_1.3.tar.gz |
| Windows binaries: | r-devel: pchc_1.3.zip, r-release: pchc_1.3.zip, r-oldrel: pchc_1.3.zip |
| macOS binaries: | r-release (arm64): pchc_1.3.tgz, r-oldrel (arm64): pchc_1.3.tgz, r-release (x86_64): pchc_1.3.tgz, r-oldrel (x86_64): pchc_1.3.tgz |
| Old sources: | pchc archive |
Please use the canonical form https://CRAN.R-project.org/package=pchc 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.