bnlearn: Bayesian Network Structure Learning, Parameter Learning and Inference

Canonical link: https://rscholar.com/pkg/bnlearn

Marco Scutari • Tomi Silander • View description and downloads View dependencies GitHub project

2007 Published

5.0.1 Version

0 Citations

2 Authors

Referenced by ⇅	Year
sparsebnUtils: Utilities for Learning Sparse Bayesian Networks (Version 0.0.8)	2016
wiseR: A Shiny Application for End-to-End Bayesian Decision Network Analysis and Web-Deployment (Version 1.0.1)	2018
mcmcabn: Flexible Implementation of a Structural MCMC Sampler for DAGs (Version 0.6)	2019
dagHMM: Directed Acyclic Graph HMM with TAN Structured Emissions (Version 0.1.0)	2023
BNSL: Bayesian Network Structure Learning (Version 0.1.4)	2017
BNrich: Pathway Enrichment Analysis Based on Bayesian Network (Version 0.1.1)	2020
BayesNetBP: Bayesian Network Belief Propagation (Version 1.6.1)	2017
BayesianNetwork: Bayesian Network Modeling and Analysis (Version 0.3.2)	2016
CompareCausalNetworks: Interface to Diverse Estimation Methods of Causal Networks (Version 0.2.6.2)	2015
GroupBN: Inferring Group Bayesian Networks using Hierarchical Feature Clustering (Version 1.2.0)	2020
MRPC: PC Algorithm with the Principle of Mendelian Randomization (Version 3.1.0)	2018
MoTBFs: Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions (Version 1.4.1)	2015
OGI: Objective General Index (Version 1.0.0)	2017
OrdCD: Ordinal Causal Discovery (Version 1.1.2)	2022
ParallelPC: Paralellised Versions of Constraint Based Causal Discovery Algorithms (Version 1.2)	2015
SELF: A Structural Equation Embedded Likelihood Framework for Causal Discovery (Version 0.1.1)	2017
StratifiedBalancing: Stratified Covariate Balancing (Version 0.3.0)	2016
bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan' (Version 0.8.5)	2019
bnRep: A Repository of Bayesian Networks from the Academic Literature (Version 0.0.2)	2024
bnmonitor: An Implementation of Sensitivity Analysis in Bayesian Networks (Version 0.2.2)	2021
bnpa: Bayesian Networks & Path Analysis (Version 0.3.0)	2017
bnviewer: Bayesian Networks Interactive Visualization and Explainable Artificial Intelligence (Version 0.1.6)	2018
cia: Learn and Apply Directed Acyclic Graphs for Causal Inference (Version 1.0.0)	0
criticality: Modeling Fissile Material Operations in Nuclear Facilities (Version 0.9.3)	2022
dbnR: Dynamic Bayesian Network Learning and Inference (Version 0.7.9)	2020
dbnlearn: Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting (Version 0.1.0)	2020
dsld: Data Science Looks at Discrimination (Version 0.2.2)	2024
gRain: Bayesian Networks (Version 1.4.5)	2008
imbalance: Preprocessing Algorithms for Imbalanced Datasets (Version 1.0.2.1)	2017
mDAG: Inferring Causal Network from Mixed Observational Data Using a Directed Acyclic Graph (Version 1.2.2)	2019
pchc: Bayesian Network Learning with the PCHC and Related Algorithms (Version 1.2)	2020
r.blip: Bayesian Network Learning Improved Project (Version 1.1)	2019
rPACI: Placido Analysis of Corneal Irregularity (Version 0.2.2)	2019
rbmn: Handling Linear Gaussian Bayesian Networks (Version 0.9-6)	2013
stagedtrees: Staged Event Trees (Version 2.3.0)	2019

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.