Romeb
0.2.0Robust Median-Based Bayesian Growth Curve Modeling
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 25%
- References docs
- 0%
Downloads
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Repository practices
Checks run against github.com/dandantang0/romeb on 2026-08-23.
No development-tooling practices detected in the upstream repository.
Dependencies
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Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.2.0Latest
- RR 4.6.0 released · 2026-04-24
- 0.1.22026-03-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-11-17
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.2.0
- Bundled data
- 6.3 KB / 1 file
- Download size
- 33 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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