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Rgbp

Hierarchical Modeling and Frequency Method Checking on Overdispersed Gaussian, Poisson, and Binomial Data

v1.1.4 · Dec 16, 2019 · GPL-2

Description

We utilize approximate Bayesian machinery to fit two-level conjugate hierarchical models on overdispersed Gaussian, Poisson, and Binomial data and evaluates whether the resulting approximate Bayesian interval estimates for random effects meet the nominal confidence levels via frequency coverage evaluation. The data that Rgbp assumes comprise observed sufficient statistic for each random effect, such as an average or a proportion of each group, without population-level data. The approximate Bayesian tool equipped with the adjustment for density maximization produces approximate point and interval estimates for model parameters including second-level variance component, regression coefficients, and random effect. For the Binomial data, the package provides an option to produce posterior samples of all the model parameters via the acceptance-rejection method. The package provides a quick way to evaluate coverage rates of the resultant Bayesian interval estimates for random effects via a parametric bootstrapping, which we call frequency method checking.

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r-devel-linux-x86_64-fedora-clang OK
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r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Joseph Kelly <josephkelly@post.harvard.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Joseph",
                      family = "Kelly",
                      role = c("aut", "cre"),
                      email = "josephkelly@post.harvard.edu"),
               person(given = "Hyungsuk",
                      family = "Tak",
                      role = "aut"),
               person(given = "Carl",
                      family = "Morris",
                      role = "aut"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Joseph Kelly <josephkelly@post.harvard.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Joseph",
                      family = "Kelly",
                      role = c("aut", "cre"),
                      email = "josephkelly@post.harvard.edu"),
               person(given = "Hyungsuk",
                      family = "Tak",
                      role = "aut"),
               person(given = "Carl",
                      family = "Morris",
                      role = "aut"))
as necessary.
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OK r-devel-linux-x86_64-fedora-gcc

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OK r-devel-macos-arm64

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OK r-devel-windows-x86_64

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OK r-oldrel-windows-x86_64

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OK r-patched-linux-x86_64

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OK r-release-linux-x86_64

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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Joseph Kelly <josephkelly@post.harvard.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Joseph",
                      family = "Kelly",
                      role = c("aut", "cre"),
                      email = "josephkelly@post.harvard.edu"),
               person(given = "Hyungsuk",
                      family = "Tak",
                      role = "aut"),
               person(given = "Carl",
                      family = "Morr
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Joseph Kelly <josephkelly@post.harvard.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Joseph",
                      family = "Kelly",
                      role = c("aut", "cre"),
                      email = "josephkelly@post.harvard.edu"),
               person(given = "Hyungsuk",
                      family = "Tak",
                      role = "aut"),
               person(given = "Carl",
                      family = "Morr

Dependency Network

Dependencies Reverse dependencies sn mnormt Rgbp

Version History

new 1.1.4 Mar 10, 2026