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: not available, r-release: not available, 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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