CRAN/E | bnstruct

bnstruct

Bayesian Network Structure Learning from Data with Missing Values

Installation

About

Bayesian Network Structure Learning from Data with Missing Values. The package implements the Silander-Myllymaki complete search, the Max-Min Parents-and-Children, the Hill-Climbing, the Max-Min Hill-climbing heuristic searches, and the Structural Expectation-Maximization algorithm. Available scoring functions are BDeu, AIC, BIC. The package also implements methods for generating and using bootstrap samples, imputed data, inference.

Citation bnstruct citation info

Key Metrics

Version 1.0.15
R ≥ 3.5.0
Published 2024-01-09 105 days ago
Needs compilation? yes
License GPL-2
License GPL-3
License File
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Maintainer

Maintainer

Alberto Franzin

afranzin@ulb.ac.be

Authors

Francesco Sambo

aut

Alberto Franzin

aut / cre

Material

README
NEWS
Reference manual
Package source

In Views

GraphicalModels
MissingData

Vignettes

\texttt{bnstruct}: an R package for Bayesian Network Structure Learning

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bnstruct archive

Depends

R ≥ 3.5.0
bitops
igraph
methods

Suggests

graph
Rgraphviz
qgraph
knitr
testthat

Reverse Imports

DExMA
IntOMICS
NIMAA
TGS

Reverse Suggests

BoltzMM