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): not available, r-oldrel (x86_64): not available

Linking:

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