Other packages > Find by keyword >

Rgbp  

Hierarchical Modeling and Frequency Method Checking on Overdispersed Gaussian, Poisson, and Binomial Data
View on CRAN: Click here


Download and install Rgbp package within the R console
Install from CRAN:
install.packages("Rgbp")

Install from Github:
library("remotes")
install_github("cran/Rgbp")

Install by package version:
library("remotes")
install_version("Rgbp", "1.1.4")



Attach the package and use:
library("Rgbp")
Maintained by
Joseph Kelly
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-04-23
Latest Update: 2019-12-17
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.
How to cite:
Joseph Kelly (2013). Rgbp: Hierarchical Modeling and Frequency Method Checking on Overdispersed Gaussian, Poisson, and Binomial Data. R package version 1.1.4, https://cran.r-project.org/web/packages/Rgbp. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.0 (2013-04-23 21:19), 1.0.1 (2013-09-11 20:46), 1.0.2 (2013-11-12 18:20), 1.0.3 (2013-12-02 20:07), 1.0.4 (2014-01-20 21:33), 1.0.5 (2014-03-01 18:18), 1.0.6 (2014-04-24 07:43), 1.0.9 (2015-07-27 23:56), 1.1.0 (2015-08-04 17:18), 1.1.1 (2016-01-13 18:15), 1.1.2 (2017-06-05 23:44), 1.1.3 (2018-05-18 00:34)
Other packages that cited Rgbp R package
View Rgbp citation profile
Other R packages that Rgbp depends, imports, suggests or enhances
Complete documentation for Rgbp
Functions, R codes and Examples using the Rgbp R package
Some associated functions: Rgbp-package . baseball . coverage . coverage.plot . gbp-internal . gbp . hospital . plot.gbp . print.gbp . print.summary.gbp . schools . summary.gbp . 
Some associated R codes: br.R . coverage.R . gbp.R . gr.R . pr.R .  Full Rgbp package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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