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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 (may not be active yet)
Author: Dandan Tang ORCID iD [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: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): Romeb_0.1.2.tgz, r-oldrel (x86_64): Romeb_0.1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Romeb to link to this page.

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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