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pchc

1.4

Bayesian Network Learning with the PCHC and Related Algorithms

0packages depend
3.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Michail TsagrisFirst published 2020-07-0614 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
0%
Documentation · exports
11
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
83%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
95%

Downloads

3.8K
CRAN downloads in the past year
Rank #12,182 · ~10/day · ~319/mo
Daily download trend is not available in this view yet.
25230 days
83490 days
3.8K1 year
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Also on126 r2u6 autocran30 c2d4u

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

14 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.4Latest
    2026-03-26 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.3
    2024-12-06 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2
    2023-09-06 · diff ↗
  • 1.1
    2023-08-09 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0
    2023-03-27 · diff ↗
  • 0.9
    2023-03-22 · diff ↗
  • 0.8
    2022-06-18 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.7
    2022-02-14 · diff ↗
  • 0.6
    2021-10-15 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.5
    2021-03-21 · diff ↗
Show 5 earlier events
  • 0.4
    2021-02-22 · diff ↗
  • 0.3
    2020-11-30 · diff ↗
  • 0.2
    2020-08-28 · diff ↗
  • 0.1
    2020-07-06
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-07-06
Total releases
14 / 6 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0
Download size
35 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pchc")
Tsagris, M. (2026). pchc: Bayesian Network Learning with the PCHC and Related Algorithms (Version 1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.pchc

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for pchc version 1.4 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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