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 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 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

VEwaningVariant  
Vaccine Efficacy Over Time - Variant Aware
Implements methods for inference on potential waning of vaccine efficacy and for estimation of vacci ...
Download / Learn more Package Citations See dependency  
VFS  
Vegetated Filter Strip and Erosion Model
Empirical models for runoff, erosion, and phosphorus loss across a vegetated filter strip, given sl ...
Download / Learn more Package Citations See dependency  
alabama  
Constrained Nonlinear Optimization
Augmented Lagrangian Adaptive Barrier Minimization Algorithm for optimizing smooth nonlinear object ...
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  
FastKNN  
Fast k-Nearest Neighbors
Compute labels for a test set according to the k-Nearest Neighbors classification. This is a fast wa ...
Download / Learn more Package Citations See dependency  
rt.test  
Robustified t-Test
Performs one-sample t-test based on robustified statistics using median/MAD (TA) and Hodges-Lehmann/ ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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