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hdbma

1.0

Bayesian Mediation Analysis with High-Dimensional Data

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test coverage
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Overview

About
Maintained by Qingzhao YuFirst published 2023-12-151 releasesCRAN page ↗

Mediation analysis is used to identify and quantify intermediate effects from factors that intervene the observed relationship between an exposure/predicting variable and an outcome. We use a Bayesian adaptive lasso method to take care of the hierarchical structures and high dimensional exposures or mediators.

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Health

CRAN checks
13OK
Slowest check: 2.8 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
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Coverage
7
Dependencies · direct
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
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Documented parameters
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Return-value docs
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References docs
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2.2K
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Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (6)
R >= 2.14.1R2jagsgplotsMASSsurvivalsplines
Imports (2)
latticemethods
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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Code & Tests

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People & History

People (2)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Author
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2023-12-15
Total releases
1 / 3 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.14.1
Bundled data
11 KB / 1 file
Download size
42 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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