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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 ORCID iD [aut], David Kahle ORCID iD [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.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:

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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.