Type: Package
Package: bbricks
Title: Bayesian Methods and Graphical Model Structures for Statistical
        Modeling
Version: 0.1.4
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 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 <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'
        'Gamma_Inference.r' 'Gaussian_Inference.r'
        'Dirichlet_Process.r' 'MCMC.r' 'bbricks-package.R' 'testData.r'
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-07 19:00:26 UTC; hch
Author: Haotian Chen [aut, cre] (<https://orcid.org/0000-0001-9751-2093>)
Maintainer: Haotian Chen <chenhaotian.jtt@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-05-07 19:10:02 UTC
Built: R 4.1.0; ; 2020-08-03 04:25:00 UTC; windows
