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unmconf
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.unmconf . unmconf results . unmconf.pdf . How to Use the unmconf Package . unmconf_1.0.0.tar.gz . unmconf_1.0.0.zip . unmconf_1.0.0.zip . unmconf_1.0.0.zip . unmconf_1.0.0.tgz . unmconf_1.0.0.tgz . unmconf_1.0.0.tgz . unmconf_1.0.0.tgz . unmconf archive . https://CRAN.R-project.org/package=unmconf .
First Published: 2023-12-12
Latest Update: 2023-12-12
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 12 May. 2025.
Previous versions and publish date:
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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