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Linear Quantile Mixed Models

2packages dependsuggested by 3
53.6Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Functions to fit quantile regression models for hierarchical data (2-level nested designs) as described in Geraci and Bottai (2014, Statistics and Computing) doi:10.1007/s11222-013-9381-9. A vignette is given in Geraci (2014, Journal of Statistical Software) doi:10.18637/jss.v057.i13 and included in the package documents. The packages also provides functions to fit quantile models for independent data and for count responses.

Changes in 1.5.8
  • CRAN request to fix BLAS

From NEWS in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Marco Geraci <marco.geraci@uniroma1.it>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Marco",
                    family = "Geraci",
                    role = c("aut", "cre"),
                    email = "marco.geraci@uniroma1.it")
as necessary.

Package CITATION file contains call(s) to old-style personList() or
as.personList().  Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

CRAN check page ↗

Slowest check: 4.2 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.5.8
READMENoVignettesNoNEWSYes · 67% structured · mentions 1.5.8Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
40 (1 internal)includes a package overview page
Examples that run
100%11 run in a plain check
Exported functions with examples
0%
Documented parameters
not tracked
Return-value docs
50%
Help pages citing references
38%

Downloads

53.6K
CRAN downloads in the past year
Rank #1,938 · ~147/day · ~4.5K/mo
Daily download trend is not available in this view yet.
3.5K30 days
9.9K90 days
53.6K1 year
Compare downloads with other packages →
Also on459 r2u2 autocran165 c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing lqmm adds 1 package (0 with compiled code, 144 KB of source tarballs). Heaviest: SparseGrid 144 KB.

Depends (1)
R >= 3.0.0
Imports (4)
statsutilsnlmeSparseGrid
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Suggested by 3
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 1.0 (2012)

Releases (17)

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
  • 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
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 3.0.3Latest
    record
    2014-01-09 · current release · diff ↗
  • 3.0.1
    record
    2013-04-30 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
Show 16 earlier eventsHide 16 earlier events

Package metadata

First published
2012-04-29
Total releases
17 / 14 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.0
Bundled data
3.0 KB / 2 files
Download size
58 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lqmm")

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 lqmm version 1.5.8 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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