Type: Package
Package: bbricks
Title: Bayesian Methods and Graphical Model Structures for Statistical
        Modeling
Version: 0.1.1
Authors@R: 
    person(given = "Haotian",
           family = "Chen",
           role = c("aut", "cre"),
           email = "chenhaotian.jtt@gmail.com",
           comment = structure("0000-0001-9751-2093", .Names = "ORCID"))
Description: A class of frequently used Bayesian parametric and nonparametric model structures, as well as a set of tools for common analytical tasks. Structures include 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, calculating marginal likelihood, calculating posterior predictive densities, sampling from posterior predictive distributions, calculating "Maximum A Posteriori" (MAP) estimates ... See Murphy (2012, <doi:10.1080/09332480.2014.914768>), Koller and Friedman (2009, <doi:10.1017/s0269888910000275>) and Andrieu, de Freitas, Doucet and Jordan (2003, <doi:10.1023/A:1020281327116>) for more information. See <https://chenhaotian.github.io/Bayesian-Bricks/> to get started.
License: MIT + file LICENSE
URL: https://github.com/chenhaotian/Bayesian-Bricks
BugReports: https://github.com/chenhaotian/Bayesian-Bricks/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Collate: 'Bayesian_Bricks.r' 'Categorical_Inference.r'
        'Gaussian_Inference.r' 'Dirichlet_Process.r' 'MCMC.r'
        'bbricks-package.R' 'testData.r'
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-23 10:14:29 UTC; hch
Author: Haotian Chen [aut, cre] (<https://orcid.org/0000-0001-9751-2093>)
Maintainer: Haotian Chen <chenhaotian.jtt@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-25 15:30:11 UTC
Built: R 4.0.0; ; 2020-04-10 02:41:56 UTC; windows
