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GENMETA

0.2.0Package record

Implements Generalized Meta-Analysis Using Iterated Reweighted Least Squares Algorithm

0packages depend
2.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Generalized meta-analysis is a technique for estimating parameters associated with a multiple regression model through meta-analysis of studies which may have information only on partial sets of the regressors. It estimates the effects of each variable while fully adjusting for all other variables that are measured in at least one of the studies. Using algebraic relationships between regression parameters in different dimensions, a set of moment equations is specified for estimating the parameters of a maximal model through information available on sets of parameter estimates from a series of reduced models available from the different studies. The specification of the equations requires a reference dataset to estimate the joint distribution of the covariates. These equations are solved using the generalized method of moments approach, with the optimal weighting of the equations taking into account uncertainty associated with estimates of the parameters of the reduced models. The proposed framework is implemented using iterated reweighted least squares algorithm for fitting generalized linear regression models. For more details about the method, please see pre-print version of the manuscript on generalized meta-analysis by Prosenjit Kundu, Runlong Tang and Nilanjan Chatterjee (2018) doi:10.1093/biomet/asz030.The current version (0.2.0) is updated to address some of the stability issues in the previous version (0.1).

Install

Health

CRAN checks
13OK
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
94%
Return-value docs
50%
Help pages citing references
25%

Downloads

2.8K
CRAN downloads in the past year
Rank #15,737 · ~8/day · ~233/mo
Daily download trend is not available in this view yet.
29430 days
78390 days
2.8K1 year
Compare downloads with other packages →
Also on88 r2u3 autocran78 c2d4u

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing GENMETA adds 3 packages (0 with compiled code, 586 KB of source tarballs). Heaviest: pracma 389 KB, magic 176 KB, abind 21 KB.

Depends (3)
R >= 2.15.3MASSgraphics
Imports (3)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1 (2018)
Releases (2)

Pick two releases to compare their code metrics.

  • 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
  • 0.2.0Latest
    record
    2022-12-01 · current release · diff ↗
  • 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
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1
    record
    2018-12-03
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-12-03
Total releases
2 / 8 yrs
License
GPL
Minimum R
≥ 2.15.3
Download size
18 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GENMETA")
Kundu, P., Chatterjee, N., & Tang, R. (2022). GENMETA: Implements Generalized Meta-Analysis Using Iterated Reweighted Least Squares Algorithm (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.GENMETA

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 GENMETA version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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