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 214 downloads 1 exports 4 dependencies

Last updated 12 months agofrom:6eeae39092. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 24 2024
R-4.5-linux-x86_64OKNov 24 2024

Exports:rrum

Dependencies:RcppRcppArmadillorgensimcdm