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Regularized PQL for Joint Selection in GLMMs

0packages depend
3.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Performs joint selection in Generalized Linear Mixed Models (GLMMs) using penalized likelihood methods. Specifically, the Penalized Quasi-Likelihood (PQL) is used as a loss function, and penalties are then augmented to perform simultaneous fixed and random effects selection. Regularized PQL avoids the need for integration (or approximations such as the Laplace's method) during the estimation process, and so the full solution path for model selection can be constructed relatively quickly.

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.8.4
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
10includes a package overview page
Examples that run
33%3 run in a plain check · 1 never run · 5 hold no code
Exported functions with examples
89%
Documented parameters
69%
Return-value docs
100%
Help pages citing references
60%

Downloads

3.2K
CRAN downloads in the past year
Rank #10,198 · ~9/day · ~266/mo
Daily download trend is not available in this view yet.
41130 days
1K90 days
3.2K1 year
Compare downloads with other packages →
Also on384 r2u2 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing rpql adds 10 packages (8 with compiled code, 13 MB of source tarballs). Heaviest: lme4 4.3 MB, nloptr 2.1 MB, Rcpp 1.8 MB.

Depends (0)
none
Imports (5)
lme4MatrixMASSmvtnormRcpp
LinkingTo (2)
Suggests (1)
nlme
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.5 (2016)
Listed in earlier versions (3)
Show 3 peopleHide 3 people
no longer listed · 0.5 to 0.6
A.H. Welsh
no longer listed · 0.5 to 0.8.1
with contributions from Samuel Mueller
no longer listed · 0.7 to 0.8.1
Releases (9)

Pick two releases to compare their code metrics.

  • 0.8.4Latest
    record
    2026-09-06 · current release · diff ↗ ·
    added 1 export
    ZIP
  • R
    R 4.6.0 released · 2026-04-24
  • 0.8.3
    record
    2025-12-17 · diff ↗
  • 0.8.2
    record
    2025-07-26 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.8.1
    record
    2023-08-20 · diff ↗
  • 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
  • 0.8
    record
    2020-06-16 · diff ↗
  • 0.7.1
    record
    2020-06-05 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.7
    record
    2018-12-05 · diff ↗
  • 0.6
    record
    2018-04-23 · diff ↗
Show 4 earlier eventsHide 4 earlier events
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 0.5
    record
    2016-10-07
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-10-07
Total releases
9 / 10 yrs
License
GPL-3 OSI
Download size
93 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rpql")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 rpql version 0.8.4 [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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