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Modified Poisson Regression for Binary Outcome and Related Methods

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4.6Kdownloads / year
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Overview

About

Modified Poisson, logistic and least-squares regression analyses for binary outcomes of Zou (2004) doi:10.1093/aje/kwh090, Noma (2026)doi:10.1016/j.spl.2026.110698, and Cheung (2007) doi:10.1093/aje/kwm223 have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. In addition, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals.

Changes in 4.5-1
  • Added generic coef(), vcov(), and family() methods for improved interoperability with other R packages.
  • Added cluster-robust ID support to rqlm() and qlogist().
  • The ttemsm() function now returns the full covariance matrix and fitted glm object, and uses uniform weights when weight is omitted.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 4.5-1
READMENoVignettesNoNEWSYes · 100% structured · mentions 4.5-1Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
23 (1 internal)includes a package overview page
Examples that run
100%16 run in a plain check
Exported functions with examples
93%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
74%

Downloads

4.6K
CRAN downloads in the past year
Rank #6,483 · ~13/day · ~382/mo
Daily download trend is not available in this view yet.
64830 days
1.3K90 days
4.6K1 year
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Also on151 r2u4 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing rqlm adds 55 packages (32 with compiled code, 42 MB of source tarballs). Heaviest: stringi 11 MB, lme4 4.3 MB, glmnet 2.7 MB.

Depends (1)
R >= 3.5.0
Imports (6)
statsMASSnnetsandwichmicelme4
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.1-1 (2024)
Releases (14)

Pick two releases to compare their code metrics.

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  • 1.1-1
    record
    2024-01-11
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-01-11
Total releases
14 / 2 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
132 KB / 7 files
Download size
158 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rqlm")
Noma, H. (2026). rqlm: Modified Poisson Regression for Binary Outcome and Related Methods (Version 4.5-1) [Computer software]. https://doi.org/10.32614/CRAN.package.rqlm

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 rqlm version 4.5-1 [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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