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 |
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 |
Reference manual: | unmconf.pdf |
Vignettes: |
How to Use the unmconf Package (source, R code) |
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-devel (arm64): unmconf_1.0.0.tgz, r-release (arm64): unmconf_1.0.0.tgz, r-oldrel (arm64): unmconf_1.0.0.tgz, r-devel (x86_64): 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 |
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