bnlearn: Bayesian Network Structure Learning, Parameter Learning and Inference

Canonical link: https://scholar.rpkg.net/pkg/bnlearn

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

2007 Published

4.9.3 Version

0 Citations

1 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)	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
bnmonitor: An Implementation of Sensitivity Analysis in Bayesian Networks (Version 0.1.4)	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
criticality: Modeling Fissile Material Operations in Nuclear Facilities (Version 0.9.3)	2022
dbnlearn: Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting (Version 0.1.0)	2020
dbnR: Dynamic Bayesian Network Learning and Inference (Version 0.7.8)	2020
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

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