Package: rrum 0.2.1

James Joseph Balamuta

rrum: Bayesian Estimation of the Reduced Reparameterized Unified Model with Gibbs Sampling

Implementation of Gibbs sampling algorithm for Bayesian Estimation of the Reduced Reparameterized Unified Model ('rrum'), described by Culpepper and Hudson (2017) <doi:10.1177/0146621617707511>.

Authors:Steven Andrew Culpepper [aut, cph], Aaron Hudson [aut, cph], James Joseph Balamuta [aut, cph, cre]

rrum_0.2.1.tar.gz
rrum_0.2.1.tar.gz(r-4.5-noble)rrum_0.2.1.tar.gz(r-4.4-noble)
rrum_0.2.1.tgz(r-4.4-emscripten)rrum_0.2.1.tgz(r-4.3-emscripten)
rrum.pdf |rrum.html✨
rrum/json (API)
NEWS

# Install 'rrum' in R:
install.packages('rrum', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tmsalab/rrum/issues

Pkgdown site:https://tmsalab.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

1.70 score 3 scripts 222 downloads 1 exports 4 dependencies

Last updated 1 years agofrom:6eeae39092. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 22 2025
R-4.5-linux-x86_64OKFeb 22 2025

Exports:rrum

Dependencies:RcppRcppArmadillorgensimcdm