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'))

Peer review:

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

openblascppopenmp

1.70 score 3 scripts 166 downloads 1 exports 4 dependencies

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

TargetResultDate
Doc / VignettesOKDec 24 2024
R-4.5-linux-x86_64OKDec 24 2024

Exports:rrum

Dependencies:RcppRcppArmadillorgensimcdm