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rrum  

Bayesian Estimation of the Reduced Reparameterized Unified Model with Gibbs Sampling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rrum", "0.2.2")



Attach the package and use:
library("rrum")
Maintained by
James Joseph Balamuta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-11
Latest Update: 2023-11-29
Description:
Implementation of Gibbs sampling algorithm for Bayesian Estimation of the Reduced Reparameterized Unified Model ('rrum'), described by Culpepper and Hudson (2017) .
How to cite:
James Joseph Balamuta (2019). rrum: Bayesian Estimation of the Reduced Reparameterized Unified Model with Gibbs Sampling. R package version 0.2.2, https://cran.r-project.org/web/packages/rrum. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:53), 0.2.0 (2019-02-11 17:10), 0.2.1 (2023-11-29 08:40)
Other packages that cited rrum R package
View rrum citation profile
Other R packages that rrum depends, imports, suggests or enhances
Complete documentation for rrum
Functions, R codes and Examples using the rrum R package
Some associated functions: rrum-package . rrum . 
Some associated R codes: RcppExports.R . rrum-estimation.R . rrum-package.R .  Full rrum package functions and examples
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