CRAN/E | pchc

pchc

Bayesian Network Learning with the PCHC and Related Algorithms

Installation

About

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.

Key Metrics

Version 1.2
R ≥ 4.0
Published 2023-09-06 235 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks pchc results

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Maintainer

Maintainer

Michail Tsagris

mtsagris@uoc.gr

Authors

Michail Tsagris

aut / cre

Material

Reference manual
Package source

In Views

GraphicalModels

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

pchc archive

Depends

R ≥ 4.0

Imports

bigstatsr
bnlearn
dcov
foreach
doParallel
parallel
Rfast
Rfast2
robustbase
stats

Suggests

bigreadr
Rgraphviz

Reverse Imports

Compositional