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

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

1.70 score 3 scripts 238 downloads 1 exports 4 dependencies

Last updated 11 months agofrom:6eeae39092. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-linux-x86_64OKOct 25 2024

Exports:rrum

Dependencies:RcppRcppArmadillorgensimcdm