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Romeb (version 0.1.2)

Robust Median-Based Bayesian Growth Curve Modeling

Description

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'.

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Install

install.packages('Romeb')

Monthly Downloads

159

Version

0.1.2

License

GPL-3

Issues

0

Pull Requests

0

Stars

0

Forks

1

Maintainer

Dandan Tang

Last Published

November 17th, 2025

Functions in Romeb (0.1.2)

model

Bayesian Growth Curve Model for Complete Data, MCAR (Missing Completely at Random, and MAR (Missing at Random
Romeb

Romeb: Robust Median-Based Bayesian Growth Curve Modeling
model_MNAR_k

Bayesian Growth-Curve Model for MNAR with Auxiliary Variable (k)
model_MNAR

Bayesian Growth Curve Model for MNAR (Missing Not At Random)
NYS

Youth Attitudes toward Deviance (NYS, 1976–1980)