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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>. c) Sevinc V. and Tsagris M. (2024). "On the Hyperparameters of PCTABU and PCHC Bayesian Network Learning Algorithms". <doi:10.21203/rs.3.rs-5137132/v1>.

Versions across snapshots

VersionRepositoryFileSize
1.4 rolling linux/jammy R-4.5 pchc_1.4.tar.gz 227.0 KiB
1.4 rolling linux/noble R-4.5 pchc_1.4.tar.gz 227.0 KiB
1.4 rolling source/ R- pchc_1.4.tar.gz 34.9 KiB
1.4 latest linux/jammy R-4.5 pchc_1.4.tar.gz 227.0 KiB
1.4 latest linux/noble R-4.5 pchc_1.4.tar.gz 227.0 KiB
1.4 latest source/ R- pchc_1.4.tar.gz 34.9 KiB
1.4 2026-04-26 source/ R- pchc_1.4.tar.gz 34.9 KiB
1.4 2026-04-23 source/ R- pchc_1.4.tar.gz 34.9 KiB
1.4 2026-04-09 windows/windows R-4.5 pchc_1.4.zip 230.4 KiB
1.3 2025-04-20 source/ R- pchc_1.3.tar.gz 35.2 KiB

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