R Observatory: Metrics for hdbm version 0.9.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2025-09-17. Its history is shown below.

Reason: email to the maintainer is undeliverable

Details below reflect version 0.9.0, its last release before removal.

hdbm

0.9.0Package record

High Dimensional Bayesian Mediation Analysis

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Alexander RixCRAN page ↗

Perform mediation analysis in the presence of high-dimensional mediators based on the potential outcome framework. High dimensional Bayesian mediation (HDBM), developed by Song et al (2018) doi:10.1101/467399, relies on two Bayesian sparse linear mixed models to simultaneously analyze a relatively large number of mediators for a continuous exposure and outcome assuming a small number of mediators are truly active. This sparsity assumption also allows the extension of univariate mediator analysis by casting the identification of active mediators as a variable selection problem and applying Bayesian methods with continuous shrinkage priors on the effects.

Changes in 0.9.0

Initial version released

From NEWS.md in the release

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/hdbm/hdbm_0.9.0.tar.gz"
pkgFile <- "hdbm_0.9.0.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.9.0) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.9.0

READMEYes · 107 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structured · mentions 0.9.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 50%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on325 r2u5 autocran101 c2d4u

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (1)

Rcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Alexander Rix

Author, Maintainer since 0.9.0 (2019)

Yanyi Song

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2025-09-17
email to the maintainer is undeliverable
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
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.9.0
record
2019-08-28
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-08-28
Total releases: 1 / 7 yrs
License: GPL-3 OSI
Bundled data: 766 KB / 1 file

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hdbm")

Format

Rix, A., & Song, Y. (n.d.). hdbm: High Dimensional Bayesian Mediation Analysis (Version 0.9.0) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=hdbm

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for hdbm version 0.9.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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