Romeb: Robust Median-Based Bayesian Growth Curve Modeling
Implements robust median-based Bayesian linear growth curve models for complete data and for data with Missing Completely at Random (MCAR), Missing At Random (MAR), or Missing Not At Random (MNAR) mechanisms. Models are fitted using 'rjags' through 'JAGS' and posterior summaries are computed with 'coda'. The main function allows users to specify outcome variables, auxiliary variables for MNAR missingness models, prior hyperparameters, and initial values directly through function arguments.
| Version: | 0.2.0 |
| Depends: | R (≥ 4.2.0) |
| Imports: | coda, rjags, stats, utils |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-07-11 |
| DOI: | 10.32614/CRAN.package.Romeb |
| Author: | Dandan Tang  [aut,
cre],
Xin Tong [aut] |
| Maintainer: | Dandan Tang <tangdd20 at gmail.com> |
| BugReports: | https://github.com/DandanTang0/Romeb/issues |
| License: | GPL-3 |
| URL: | https://github.com/DandanTang0/Romeb |
| NeedsCompilation: | no |
| SystemRequirements: | JAGS |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | Romeb results |
Documentation:
| Reference manual: | Romeb.html , Romeb.pdf |
| Vignettes: |
Romeb Package: An Introduction (source, R code) |
Downloads:
| Package source: | Romeb_0.2.0.tar.gz |
| Windows binaries: | r-devel: Romeb_0.2.0.zip, r-release: Romeb_0.1.2.zip, r-oldrel: Romeb_0.1.2.zip |
| macOS binaries: | r-release (arm64): Romeb_0.2.0.tgz, r-oldrel (arm64): Romeb_0.2.0.tgz, r-release (x86_64): Romeb_0.2.0.tgz, r-oldrel (x86_64): Romeb_0.2.0.tgz |
| Old sources: | Romeb archive |
Linking:
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