Other packages > Find by keyword >

bbricks  

Bayesian Methods and Graphical Model Structures for Statistical Modeling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bbricks", "0.1.4")



Attach the package and use:
library("bbricks")
Maintained by
Haotian Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-25
Latest Update:
Description:
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of tools for common analytical tasks. Structures include linear Gaussian systems, Gaussian and Normal-Inverse-Wishart conjugate structure, Gaussian and Normal-Inverse-Gamma conjugate structure, Categorical and Dirichlet conjugate structure, Dirichlet Process on positive integers, Dirichlet Process in general, Hierarchical Dirichlet Process ... Tasks include updating posteriors, sampling from posteriors, calculating marginal likelihood, calculating posterior predictive densities, sampling from posterior predictive distributions, calculating "Maximum A Posteriori" (MAP) estimates ... See to get started.
How to cite:
Haotian Chen (2020). bbricks: Bayesian Methods and Graphical Model Structures for Statistical Modeling. R package version 0.1.4, https://cran.r-project.org/web/packages/bbricks. Accessed 27 Jun. 2026.
Previous versions and publish date:
0.1.1 (2020-03-25 16:30), 0.1.2 (2020-04-14 16:00), 0.1.3 (2020-04-26 16:10), 0.1.4 (2020-05-07 21:10)
Other packages that cited bbricks R package
View bbricks citation profile
Other R packages that bbricks depends, imports, suggests or enhances
Functions, R codes and Examples using the bbricks R package
Some associated functions: BasicBayesian . CatDP . CatDirichlet . CatHDP . CatHDP2 . DP . GaussianGaussian . GaussianInvWishart . GaussianNIG . GaussianNIW . HDP . HDP2 . LinearGaussianGaussian . MAP.CatDP . MAP.CatDirichlet . MAP.GaussianGaussian . MAP.GaussianInvWishart . MAP.GaussianNIG . MAP.GaussianNIW . MAP.LinearGaussianGaussian . MAP . MPE.CatDP . MPE.CatDirichlet . MPE.GaussianGaussian . MPE.GaussianInvWishart . MPE.GaussianNIG . MPE.GaussianNIW . MPE.LinearGaussianGaussian . MPE . MetropolisHastings . bbricks-package . cancerData . dAllIndicators.HDP . dAllIndicators . dCategorical . dDir . dGaussian . dInvGamma . dInvWishart . dNIW . dPosterior.CatDirichlet . dPosterior.GaussianGaussian . dPosterior.GaussianInvWishart . dPosterior.GaussianNIG . dPosterior.GaussianNIW . dPosterior.LinearGaussianGaussian . dPosterior . dPosteriorPredictive.CatDP . dPosteriorPredictive.CatDirichlet . dPosteriorPredictive.CatHDP . dPosteriorPredictive.CatHDP2 . dPosteriorPredictive.DP . dPosteriorPredictive.GaussianGaussian . dPosteriorPredictive.GaussianInvWishart . dPosteriorPredictive.GaussianNIG . dPosteriorPredictive.GaussianNIW . dPosteriorPredictive.HDP . dPosteriorPredictive.HDP2 . dPosteriorPredictive.LinearGaussianGaussian . dPosteriorPredictive . dT . dWishart . farmadsData . grapes-plus-grapes . hlrData . hmmData . inferenceJointGaussian . logsumexp . lrData . marginalLikelihood.CatDP . marginalLikelihood.CatDirichlet . marginalLikelihood.DP . marginalLikelihood.GaussianGaussian . marginalLikelihood.GaussianInvWishart . marginalLikelihood.GaussianNIG . marginalLikelihood.GaussianNIW . marginalLikelihood.HDP . marginalLikelihood.HDP2 . marginalLikelihood.LinearGaussianGaussian . marginalLikelihood . marginalLikelihood_bySufficientStatistics.CatDP . marginalLikelihood_bySufficientStatistics.CatDirichlet . marginalLikelihood_bySufficientStatistics.GaussianGaussian . marginalLikelihood_bySufficientStatistics.GaussianInvWishart . marginalLikelihood_bySufficientStatistics.GaussianNIG . marginalLikelihood_bySufficientStatistics.GaussianNIW . marginalLikelihood_bySufficientStatistics.LinearGaussianGaussian . marginalLikelihood_bySufficientStatistics . mmData . mmhData . mmhhData . pdsDeterminant . pdsInverse . posterior.CatDP . posterior.CatDirichlet . posterior.CatHDP . posterior.CatHDP2 . posterior.DP . posterior.GaussianGaussian . posterior.GaussianInvWishart . posterior.GaussianNIG . posterior.GaussianNIW . posterior.HDP . posterior.HDP2 . posterior.LinearGaussianGaussian . posterior . posteriorDiscard.CatDP . posteriorDiscard.CatDirichlet . posteriorDiscard.CatHDP . posteriorDiscard.CatHDP2 . posteriorDiscard.DP . posteriorDiscard.GaussianGaussian . posteriorDiscard.GaussianInvWishart . posteriorDiscard.GaussianNIG . posteriorDiscard.GaussianNIW . posteriorDiscard.HDP . posteriorDiscard.HDP2 . posteriorDiscard.LinearGaussianGaussian . posteriorDiscard . posteriorDiscard_bySufficientStatistics.CatDP . posteriorDiscard_bySufficientStatistics.CatDirichlet . posteriorDiscard_bySufficientStatistics . posterior_bySufficientStatistics.CatDP . posterior_bySufficientStatistics.CatDirichlet . posterior_bySufficientStatistics . print.BasicBayesian . print.CatHDP . print.CatHDP2 . print.DP . print.HDP . print.HDP2 . rCategorical . rDir . rGaussian . rInvGamma . rInvWishart . rNIW . rPosterior.CatDirichlet . rPosterior.GaussianGaussian . rPosterior.GaussianInvWishart . rPosterior.GaussianNIG . rPosterior.GaussianNIW . rPosterior.LinearGaussianGaussian . rPosterior . rPosteriorPredictive.CatDP . rPosteriorPredictive.CatDirichlet . rPosteriorPredictive.CatHDP . rPosteriorPredictive.CatHDP2 . rPosteriorPredictive.DP . rPosteriorPredictive.GaussianGaussian . rPosteriorPredictive.GaussianInvWishart . rPosteriorPredictive.GaussianNIG . rPosteriorPredictive.GaussianNIW . rPosteriorPredictive.HDP . rPosteriorPredictive.HDP2 . rPosteriorPredictive.LinearGaussianGaussian . rPosteriorPredictive . rT . rWishart . release_questions . sufficientStatistics.CatDP . sufficientStatistics.CatDirichlet . sufficientStatistics.DP . sufficientStatistics.GaussianGaussian . sufficientStatistics.GaussianInvWishart . sufficientStatistics.GaussianNIG . sufficientStatistics.GaussianNIW . sufficientStatistics.HDP . sufficientStatistics.HDP2 . sufficientStatistics.LinearGaussianGaussian . sufficientStatistics . sufficientStatistics_Weighted.CatDP . sufficientStatistics_Weighted.CatDirichlet . sufficientStatistics_Weighted.DP . sufficientStatistics_Weighted.GaussianGaussian . sufficientStatistics_Weighted.GaussianInvWishart . sufficientStatistics_Weighted.GaussianNIG . sufficientStatistics_Weighted.GaussianNIW . sufficientStatistics_Weighted.HDP . sufficientStatistics_Weighted.HDP2 . sufficientStatistics_Weighted.LinearGaussianGaussian . sufficientStatistics_Weighted . 
Some associated R codes: bbricks-package.R .  Full bbricks package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

AHSurv  
Flexible Parametric Accelerated Hazards Models
Flexible parametric Accelerated Hazards (AH) regression models in overall and relative survival fram ...
Download / Learn more Package Citations See dependency  
PeakSegOptimal  
Optimal Segmentation Subject to Up-Down Constraints
Computes optimal changepoint models using the Poisson likelihood for non-negative count data, subj ...
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  
assert  
Validate Function Arguments
Lightweight validation tool for checking function arguments and validating data analysis scripts. T ...
Download / Learn more Package Citations See dependency  
AzureKeyVault  
Key and Secret Management in 'Azure'
Manage keys, certificates, secrets, and storage accounts in Microsoft's 'Key Vault' service: ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,487

Author Associations

27,536

Publication Badges

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