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BayesCACE  

Bayesian Model for CACE Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesCACE", "1.2.3")



Attach the package and use:
library("BayesCACE")
Maintained by
Jinhui Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-08
Latest Update: 2022-10-02
Description:
Performs CACE (Complier Average Causal Effect analysis) on either a single study or meta-analysis of datasets with binary outcomes, using either complete or incomplete noncompliance information. Our package implements the Bayesian methods proposed in Zhou et al. (2019) , which introduces a Bayesian hierarchical model for estimating CACE in meta-analysis of clinical trials with noncompliance, and Zhou et al. (2021) , with an application example on Epidural Analgesia.
How to cite:
Jinhui Yang (2021). BayesCACE: Bayesian Model for CACE Analysis. R package version 1.2.3, https://cran.r-project.org/web/packages/BayesCACE. Accessed 30 Oct. 2026.
Previous versions and publish date:
1.0 (2021-11-08 10:10), 1.1 (2022-01-05 23:40), 1.2.1 (2022-06-14 00:30), 1.2 (2022-01-06 13:30), (2026-07-09 07:58)
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Complete documentation for BayesCACE
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