Other packages > Find by keyword >

BayesNetBP  

Bayesian Network Belief Propagation
View on CRAN: Click here


Download and install BayesNetBP package within the R console
Install from CRAN:
install.packages("BayesNetBP")

Install from Github:
library("remotes")
install_github("cran/BayesNetBP")

Install by package version:
library("remotes")
install_version("BayesNetBP", "1.6.1")



Attach the package and use:
library("BayesNetBP")
Maintained by
Han Yu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-09
Latest Update: 2022-05-08
Description:
Belief propagation methods in Bayesian Networks to propagate evidence through the network. The implementation of these methods are based on the article: Cowell, RG (2005). Local Propagation in Conditional Gaussian Bayesian Networks . For details please see Yu et. al. (2020) BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks . The optional 'cyjShiny' package for running the Shiny app is available at . Please see the example in the documentation of 'runBayesNetApp' function for installing 'cyjShiny' package from GitHub.
How to cite:
Han Yu (2017). BayesNetBP: Bayesian Network Belief Propagation. R package version 1.6.1, https://cran.r-project.org/web/packages/BayesNetBP. Accessed 06 Aug. 2026.
Previous versions and publish date:
1.0.1 (2017-05-09 00:17), 1.2.1 (2017-06-07 00:14), 1.3.0 (2018-02-16 16:22), 1.4.0 (2018-08-22 23:06), 1.5.2 (2020-04-14 11:00), 1.5.5 (2020-06-25 17:40), 1.5.9 (2021-06-01 17:50), (2026-07-09 07:58)
Other packages that cited BayesNetBP R package
View BayesNetBP citation profile
Other R packages that BayesNetBP depends, imports, suggests or enhances
Complete documentation for BayesNetBP
Functions, R codes and Examples using the BayesNetBP R package
Some associated functions: AbsorbEvidence . ClusterTree-class . ClusterTreeCompile . ComputeKLDs . ElimTreeInitialize . FactorQuery . GetValue . Initializer . LocalModelCompile . Marginals . PlotCGBN . PlotMarginals . PlotTree . Propagate . Sampler . SummaryMarginals . bn_to_graphNEL . chest . emission . emission1000 . liver . qtlnet_to_graphNEL . runBayesNetApp . toytree . yeast . 
Some associated R codes: A1_EliminationOrder.R . A2_Moralize.R . A2_Triangulate.R . A3_ClusterSets.R . A4_SemiEliminationTree.R . A5_StrongEliminationTree.R . A6_ClusterTreeCompile.R . A7_Initialization_helpers.R . A8_qtlnet_to_graphNEL.R . B1_ModelCompileData.R . B2_LocalModelCompile.R . B3_bn_to_graphNEL.R . C1_ElimTreeInitialize.R . C2_Initializer.R . D1_ExchangeOperation.R . D2_AbsorbEvidence.R . D3_Propagate.R . D4_PropagateWorker.R . D5_Absorb_helpers.R . D6_FactorOperations.R . E1_Marginals.R . E2_DiscreteMarginal.R . E3_PushMarginal.R . E4_FactorQuery.R . E5_CrossClusterQuery.R . E6_GetValues.R . E7_Sampler.R . F1_ComputeKLDs.R . F2_SummaryMarginal.R . F3_Summary_helpers.R . G1_PlotCGBN.R . G2_PlotMarginals.R . G3_PlotContinuous.R . G4_PlotDiscrete.R . G5_PlotTree.R . H1_runBayesNetApp.R . R1_data_chest.R . R2_data_yeast.R . R3_data_toytree.R . R4_data_liver.R . R5_data_emission.R . R6_data_emission1000.R . S4_1_LPPotential.R . S4_2_ClusterTree.R .  Full BayesNetBP package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

TMDb  
Access to TMDb API
Provides an R-interface to the TMDb API (see TMDb API on < ...
Download / Learn more Package Citations See dependency  
RRedshiftSQL  
R Interface to the 'Redshift' Database
Superclasses 'PostgreSQL' connection to help enable full 'dplyr' functionality on 'Redshift'. ...
Download / Learn more Package Citations See dependency  
SAMBA  
Selection and Misclassification Bias Adjustment for Logistic Regression Models
Health research using data from electronic health records (EHR) has gained popularity, but miscla ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
lsmeans  
Least-Squares Means
Obtain least-squares means for linear, generalized linear, and mixed models. Compute contrasts or l ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA