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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 StameyORCID iD [aut], David KahleORCID iD [aut, cre], Xiang Zhang [aut]
Maintainer:David Kahle <david at kahle.io>
License:MIT + fileLICENSE
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 formhttps://CRAN.R-project.org/package=unmconfto link to this page.


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