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unmconf: Modeling with Unmeasured Confounding
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 <david at kahle.io> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| SystemRequirements: |
JAGS >= 4.3.0 (http://mcmc-jags.sourceforge.net) |
| CRAN checks: |
unmconf results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=unmconf
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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