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unmconf  

Modeling with Unmeasured Confounding
View on CRAN: Click here


Download and install unmconf package within the R console
Install from CRAN:
install.packages("unmconf")

Install from Github:
library("remotes")
install_github("cran/unmconf")

Install by package version:
library("remotes")
install_version("unmconf", "1.0.0")



Attach the package and use:
library("unmconf")
Maintained by
David Kahle
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-12
Latest Update: 2024-09-09
Description:
Fit and assess Bayesian multi-staged regression models that account for unmeasured confounders using JAGS.
How to cite:
David Kahle (2023). unmconf: Modeling with Unmeasured Confounding. R package version 1.0.0, https://cran.r-project.org/web/packages/unmconf. Accessed 27 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:57), 0.1.0 (2023-12-12 21:50)
Other packages that cited unmconf R package
View unmconf citation profile
Other R packages that unmconf depends, imports, suggests or enhances
Complete documentation for unmconf
Functions, R codes and Examples using the unmconf R package
Some associated functions: helpers . runm . unm_glm . unm_summary . unmconf . 
Some associated R codes: attach.R . helpers.R . runm.R . unm_glm-old-documention.R . unm_glm.R . unm_summary.R . unmconf-package.R .  Full unmconf package functions and examples
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