BayesCACE
1.2.3Bayesian Model for CACE Analysis
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 53%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 39%
Downloads
Dependencies
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Code & Tests
Datasets
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Package metadata
- First published
- 2021-11-08
- Total releases
- 5 / 5 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 1.3 KB / 2 files
- Download size
- 1.7 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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