Robust Median-Based Bayesian Growth Curve Modeling R package Romeb version 0.2.0 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. Software Depends: R (>= 4.2.0) Imports: coda, rjags, stats, utils Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Dandan Tang <tangdd20@gmail.com> Comprehensive R Archive Network (CRAN) Dandan Tang [aut, cre] (ORCID: <https://orcid.org/0009-0007-3453-9660>), Xin Tong [aut] GPL-3 2026-07-11 application/tgz https://CRAN.R-project.org/package=Romeb doi:10.32614/CRAN.package.Romeb en-US