Package: pchc
Type: Package
Title: Bayesian Network Learning with the PCHC and Related Algorithms
Version: 0.4
URL:
Date: 2021-02-22
Authors@R: c(person("Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@uoc.gr"))
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 3.6.0)
Imports: bigmemory, bigstatsr, bnlearn, Rfast, Rfast2, robustbase,
        stats
Description: 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). <doi:10.1007/s10614-020-10065-7>. 
			 b) Tsagris M. (2020). The FEDHC Bayesian network learning algorithm. <arXiv:2012.00113>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-02-22 05:25:32 UTC; Michail
Repository: CRAN
Date/Publication: 2021-02-22 17:10:03 UTC
