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Weighted Meta-Analysis with Pseudo-Populations

0packages depend
2.2Kdownloads / year
46.7%test coverage
13/13flavors OK

Overview

About

Implementation of integrative weighting approaches for multiple observational studies and causal inferences. The package features three weighting approaches, each representing a special case of the unified weighting framework, introduced by Guha and Li (2024) doi:10.1093/biomtc/ujae070, which includes an extension of inverse probability weights for data integration settings.

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-02
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.3.2
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
43 (37 internal)
Examples that run
0%5 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

2.2K
CRAN downloads in the past year
Rank #15,343 · ~6/day · ~186/mo
Daily download trend is not available in this view yet.
39730 days
78290 days
2.2K1 year
Compare downloads with other packages →
Also on74 r2u7 autocran

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing WMAP adds 30 packages (14 with compiled code, 19 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 1.0.0 (2024)
Author
Author · added in 1.3.0
Author
Releases (6)

Pick two releases to compare their code metrics.

  • 1.3.2Latest
    record
    2026-10-05 · current release · diff ↗
  • 1.3.1
    record
    2026-06-09 · diff ↗
  • 1.3.0
    record
    2026-06-05 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.0
    record
    2025-06-17 · diff ↗ ·
    removed 4 exports
    get_weights, mean_diff, percentESS, sigma_ratio
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.0
    record
    2024-11-30 · diff ↗ ·
    added 4 exports
    get_weights, mean_diff, percentESS, sigma_ratio
  • 1.0.0
    record
    2024-11-07
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-11-07
Total releases
6 / 2 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
57 KB / 1 file
Download size
132 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WMAP")
Guha, S., Li, Y., Priyam, K., Reed, C., & Xu, M. (2026). WMAP: Weighted Meta-Analysis with Pseudo-Populations (Version 1.3.2) [Computer software]. https://doi.org/10.32614/CRAN.package.WMAP

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for WMAP version 1.3.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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