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BACprior
View on CRAN: Click
here
Download and install BACprior package within the R console
Install from CRAN:
install.packages("BACprior")
Install from Github:
library("remotes")
install_github("cran/BACprior")
Install by package version:
library("remotes")
install_version("BACprior", "2.1.1")
Attach the package and use:
library("BACprior")
Maintained by
Denis Talbot
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-02-16
Latest Update: 2023-10-10
Description:
The Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012)
can be used to estimate the causal effect of a continuous exposure on a continuous outcome.
This package provides an approximate sensitivity analysis of BAC with regards to the
hyperparameter omega. BACprior also provides functions to guide the user in their choice
of an appropriate omega value. The method is based on Lefebvre, Atherton and Talbot (2014).
How to cite:
Denis Talbot (2013). BACprior: Choice of Omega in the BAC Algorithm. R package version 2.1.1, https://cran.r-project.org/web/packages/BACprior
Previous versions and publish date:
Other packages that cited BACprior R package
View BACprior citation profile
Other R packages that BACprior depends,
imports, suggests or enhances
Functions, R codes and Examples using
the BACprior R package
Some associated functions: BACprior-package . BACprior.CV . BACprior.boot . BACprior.lm .
Some associated R codes: BACprior.CV.R . BACprior.boot.R . BACprior.lm.R . Full BACprior package functions and examples
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