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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 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
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_0.2.0.zip, r-oldrel: Romeb_0.2.0.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:

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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