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BayesCACE

1.2.3

Bayesian Model for CACE Analysis

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4Kdownloads / year
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Overview

About
Maintained by Jinhui YangFirst published 2021-11-085 releasesCRAN page ↗

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.

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13OK
Slowest check: 2.4 min · r-devel-linux-x86_64-fedora-clang
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  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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BayesCACE
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Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.5.0rjags
Imports (7)
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Suggests (1)
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Reverse dependencies
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People & History

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Maintainer (1)
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Authors (2)
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Contributors (2)
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Package Timeline

5 releases. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.3Latest
    2022-10-02 · current release · diff ↗
  • 1.2.1
    2022-06-14 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2
    2022-01-06 · diff ↗
  • 1.1
    2022-01-05 · diff ↗
  • 1.0
    2021-11-08
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-11-08
Total releases
5 / 5 yrs
License
GPL (>= 2) OSI
Download size
1.7 MB
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not tracked yet
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