Rgbp: Hierarchical Modeling and Frequency Method Checking on Overdispersed Gaussian, Poisson, and Binomial Data
Version 1.1.1

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.

Browse man pages Browse package API and functions Browse package files

AuthorJoseph Kelly, Hyungsuk Tak, and Carl Morris
Date of publication2016-01-13 18:15:21
MaintainerJoseph Kelly <josephkelly@post.harvard.edu>
LicenseGPL-2
Version1.1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("Rgbp")

Man pages

baseball: Baseball Data
coverage: Estimating Coverage Probability
coverage.plot: Drawing the coverage plot
gbp: Fitting Gaussian, Poisson, and Binomial Hierarchical Models
gbp-internal: Internal 'gbp' functions
hospital: Thirty-one Hospital Data
plot.gbp: Drawing Shrinkage and Posterior Interval Plots
print.gbp: Displaying 'gbp' Class
print.summary.gbp: Displaying 'summary.gbp' Class
Rgbp-package: Hierarchical Modeling and Frequency Method Checking on...
schools: Eight Schools Data
summary.gbp: Summarizing Estimation Result

Functions

BRAR Man page Source code
BRAR2ndLevelMeanKnown Man page Source code
BRAlphaBetaEst2ndLevelMeanUnknown Man page Source code
BRAlphaEst2ndLevelMeanKnown Man page Source code
BRInitialValue2ndLevelMeanKnown Man page Source code
BRInitialValue2ndLevelMeanUnknown Man page Source code
BRPosteriorEst2ndLevelMeanKnown Man page Source code
BRPosteriorEst2ndLevelMeanUnknown Man page Source code
BRShrinkageEst Man page Source code
PRAlphaBetaEst2ndLevelMeanUnknown Man page Source code
PRAlphaEst2ndLevelMeanKnown Man page Source code
PRInitialValue2ndLevelMeanKnown Man page Source code
PRInitialValue2ndLevelMeanUnknown Man page Source code
PRPosteriorEst2ndLevelMeanKnown Man page Source code
PRPosteriorEst2ndLevelMeanUnknown Man page Source code
PRShrinkageEst Man page Source code
Rgbp Man page
Rgbp-package Man page
baseball Man page
br Man page Source code
coverage Man page Source code
coverage.plot Man page Source code
derval Man page Source code
gbp Man page Source code Source code
gr Man page Source code
gr.cp.to.dp Man page Source code
gr.ll.muknown Man page Source code
gr.ll.muunknown Man page Source code
hospital Man page
plot.gbp Man page Source code
pr Man page Source code
print.gbp Man page Source code
print.summary.gbp Man page Source code
schools Man page
summary.gbp Man page Source code
tr Man page Source code

Files

NAMESPACE
data
data/baseball.RData
data/hospital.RData
data/schools.RData
R
R/pr.R
R/coverage.R
R/gr.R
R/gbp.R
R/br.R
MD5
DESCRIPTION
man
man/print.gbp.Rd
man/print.summary.gbp.Rd
man/coverage.Rd
man/Rgbp-package.Rd
man/schools.Rd
man/hospital.Rd
man/gbp.Rd
man/baseball.Rd
man/plot.gbp.Rd
man/coverage.plot.Rd
man/gbp-internal.Rd
man/summary.gbp.Rd
Rgbp documentation built on May 19, 2017, 11:01 a.m.