CRAN/E | BayesCACE

BayesCACE

Bayesian Model for CACE Analysis

Installation

About

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) doi:10.1111/biom.13028, which introduces a Bayesian hierarchical model for estimating CACE in meta-analysis of clinical trials with noncompliance, and Zhou et al. (2021) doi:10.1080/01621459.2021.1900859, with an application example on Epidural Analgesia.

System requirements JAGS 4.x.y (http://mcmc-jags.sourceforge.net)

Key Metrics

Version 1.2.3
R ≥ 3.5.0
Published 2022-10-02 565 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks BayesCACE results

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Maintainer

Maintainer

Jinhui Yang

james.yangjinhui@gmail.com

Authors

Jinhui Yang

aut / cre

Jincheng Zhou

aut

James Hodges

ctb

Haitao Chu

ctb

Material

Reference manual
Package source

In Views

Bayesian

Vignettes

BayesCACE paper

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BayesCACE archive

Depends

R ≥ 3.5.0
rjags ≥ 4-6

Imports

coda
Rdpack
grDevices
forestplot
metafor
lme4
methods

Suggests

R.rsp