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:
| Reference manual: | unmconf.html , unmconf.pdf |
| Vignettes: |
How to Use the unmconf Package (source, R code) |
Downloads:
| Package source: | unmconf_1.0.0.tar.gz |
| Windows binaries: | r-devel: unmconf_1.0.0.zip, r-release: unmconf_1.0.0.zip, r-oldrel: unmconf_1.0.0.zip |
| macOS binaries: | r-release (arm64): unmconf_1.0.0.tgz, r-oldrel (arm64): unmconf_1.0.0.tgz, r-release (x86_64): unmconf_1.0.0.tgz, r-oldrel (x86_64): unmconf_1.0.0.tgz |
| Old sources: | unmconf archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=unmconf to link to this page.