Romeb: Robust Median-Based Bayesian Growth Curve Modeling
Implements robust median-based Bayesian growth curve models that handle Missing Completely at Random (MCAR), Missing At Random (MAR), and Missing Not At Random (MNAR) missing-data mechanisms, and allow auxiliary variables. Models are fitted via 'rjags' (interface to 'JAGS') and summarized with 'coda'.
| Version: | 0.1.2 |
| Depends: | R (≥ 4.2) |
| Imports: | rjags,coda, stats |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2025-11-17 |
| 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 |
| Citation: | Romeb citation info |
| Materials: | NEWS |
| CRAN checks: | Romeb results |
Documentation:
| Reference manual: | Romeb.html ,Romeb.pdf |
| Vignettes: | Romeb Package: An Introduction (source,R code) |
Downloads:
| Package source: | Romeb_0.1.2.tar.gz |
| Windows binaries: | r-devel:Romeb_0.1.2.zip, r-release:Romeb_0.1.2.zip, r-oldrel:Romeb_0.1.2.zip |
| macOS binaries: | r-release (arm64):Romeb_0.1.2.tgz, r-oldrel (arm64):Romeb_0.1.2.tgz, r-release (x86_64):Romeb_0.1.2.tgz, r-oldrel (x86_64):Romeb_0.1.2.tgz |
Linking:
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