Bayesian Network Learning with the PCHC and Related Algorithms

Bayesian network learning using the PCHC algorithm. PCHC stands for PC Hill-Climbing. It is a new hybrid algorithm that used PC to construct the skeleton of the BN and then utilizes the Hill-Climbing greedy search. The relevant papers are a) Tsagris M. (2021). "A new scalable Bayesian network learning algorithm with applications to economics". Computational Economics (To appear). . b) Tsagris M. (2020). The FEDHC Bayesian network learning algorithm. .


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install.packages("pchc")

0.4 by Michail Tsagris, 7 days ago


Browse source code at https://github.com/cran/pchc


Authors: Michail Tsagris [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports bigmemory, bigstatsr, bnlearn, Rfast, Rfast2, robustbase, stats


See at CRAN