unmconf: Modeling with Unmeasured Confounding (original) (raw)
Tools for fitting and assessing Bayesian multilevel regression models that account for unmeasured confounders.
| Version: | 1.0.0 |
|---|---|
| Depends: | R (≥ 2.10), rjags |
| Imports: | stats, glue, janitor, coda |
| Suggests: | bayesplot, posterior, ggplot2, dplyr, tidyr, tibble, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-09-09 |
| DOI: | 10.32614/CRAN.package.unmconf |
| Author: | Ryan Hebdon [aut], James Stamey  [aut], David Kahle [aut, cre], Xiang Zhang [aut] |
| Maintainer: | David Kahle |
| License: | MIT + file |
| NeedsCompilation: | no |
| SystemRequirements: | JAGS >= 4.3.0 (http://mcmc-jags.sourceforge.net) |
| CRAN checks: | unmconf results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=unmconfto link to this page.