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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>.
| Version: |
0.2.1 |
| Depends: |
R (≥ 4.1.0), simcdm (≥ 0.1.0) |
| Imports: |
Rcpp (≥ 1.0.11) |
| LinkingTo: |
Rcpp, RcppArmadillo (≥ 0.12.6.6.0), rgen, simcdm |
| Suggests: |
testthat, covr |
| Published: |
2023-11-29 |
| Author: |
Steven Andrew Culpepper
 [aut, cph],
Aaron Hudson
[aut, cph],
James Joseph Balamuta
[aut, cph,
cre] |
| Maintainer: |
James Joseph Balamuta <balamut2 at illinois.edu> |
| BugReports: |
https://github.com/tmsalab/rrum/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://tmsalab.github.io/rrum/, https://github.com/tmsalab/rrum |
| NeedsCompilation: |
yes |
| Citation: |
rrum citation info |
| Materials: |
README NEWS |
| In views: |
Bayesian, Psychometrics |
| CRAN checks: |
rrum results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=rrum
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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