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unmconf: Modeling with Unmeasured Confounding

Fit and assess Bayesian multi-staged regression models that account for unmeasured confounders using JAGS.

Version: 0.1.0
Depends: R (≥ 2.10), rjags
Imports: stats, glue, janitor
Suggests: bayesplot, posterior, ggplot2, dplyr, tidyr, tibble, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-12-12
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

Downloads:

Package source: unmconf_0.1.0.tar.gz
Windows binaries: r-devel: unmconf_0.1.0.zip, r-release: unmconf_0.1.0.zip, r-oldrel: unmconf_0.1.0.zip
macOS binaries: r-release (arm64): unmconf_0.1.0.tgz, r-oldrel (arm64): unmconf_0.1.0.tgz, r-release (x86_64): unmconf_0.1.0.tgz, r-oldrel (x86_64): unmconf_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=unmconf to link to this page.

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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