Overview | Installation | Data format | Complete-data model | MCAR and MAR models | MNAR model without auxiliary variables | MNAR model with auxiliary variables | Prior specification | Initial values | MCMC settings | Output structure | Legacy data layout | Practical recommendations | Session information
This package is considered a duplicate. The official version of this package is found at:https://dandantang0.r-universe.dev/Romeb
Package: Romeb 0.2.0
Dandan Tang
Romeb: Robust Median-Based Bayesian Growth Curve Modeling
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.
Authors:
Romeb_0.2.0.tar.gz
Romeb_0.2.0.zip(r-4.7-any)Romeb_0.2.0.zip(r-4.6-any)
Romeb_0.2.0.tar.gz(r-4.7-any)Romeb_0.2.0.tar.gz(r-4.6-any)
Romeb_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Romeb/json (API)
| # Install 'Romeb' in R: |
| install.packages('Romeb', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dandantang0/romeb/issues
Datasets:
- NYS - Youth Attitudes toward Deviance
Last updated from:e0d6edd787. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 144 | ||
| source / vignettes | OK | 210 | ||
| linux-release | OK | 154 | ||
| windows-devel | OK | 71 | ||
| windows-release | OK | 104 | ||
| wasm-release | OK | 110 |
Exports:modelmodel_MNARmodel_MNAR_kRomeb
