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quantregGrowth

1.7-2Package record

Non-Crossing Additive Regression Quantiles and Non-Parametric Growth Charts

2packages depend
6.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Fits non-crossing regression quantiles as a function of linear covariates and multiple smooth terms, including varying coefficients, via B-splines with L1-norm difference penalties. Random intercepts and variable selection are allowed via the lasso penalties. The smoothing parameters are estimated as part of the model fitting, see Muggeo and others (2021) doi:10.1177/1471082X20929802. Monotonicity and concavity constraints on the fitted curves are allowed, see Muggeo and others (2013) doi:10.1007/s10651-012-0232-1, and also doi:10.13140/RG.2.2.12924.85122 or doi:10.13140/RG.2.2.29306.21445 some code examples.

Changes in 1.7-2
  • bug fixs: with several linear terms, noncrossing constraints could not work (thanks to Ben Sherwood for reporting)

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-08
  • WARNING12 OK, 1 WARNING2026-06-07
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.7-2
READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.7-2Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
13includes a package overview page
Examples that run
18%2 run in a plain check · 3 never run · 6 hold no code
Exported functions with examples
80%
Documented parameters
64%
Return-value docs
90%
Help pages citing references
92%

Downloads

6.6K
CRAN downloads in the past year
Rank #4,953 · ~18/day · ~552/mo
Daily download trend is not available in this view yet.
62830 days
1.7K90 days
6.6K1 year
Compare downloads with other packages →
Also on103 r2u5 autocran112 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing quantregGrowth adds 3 packages (2 with compiled code, 1.4 MB of source tarballs). Heaviest: quantreg 903 KB, SparseM 540 KB, MatrixModels 24 KB.

Depends (5)
R >= 3.5.0quantregsplinesSparseMmethods
Imports (0)
none
LinkingTo (0)
none
Suggests (4)
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 0.1-1 (2013)
Listed in earlier versions (1)
Muggeo
no longer listed · 0.1-2 to 1.7-2
Releases (24)

Pick two releases to compare their code metrics.

Show 23 earlier eventsHide 23 earlier events
  • 1.2-1
    record
    2021-05-12 · diff ↗
  • 1.2-0
    record
    2021-05-05 · diff ↗ ·
    added 2 exports
    logLik.gcrq, AIC.gcrq
  • 1.1-0
    record
    2021-03-27 · diff ↗
  • 1.0-0
    record
    2021-02-26 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.4-3
    record
    2018-09-20 · diff ↗
  • 0.4-2
    record
    2018-05-21 · diff ↗
  • 0.4-1
    record
    2018-05-16 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.4-0
    record
    2018-03-06 · diff ↗ ·
    removed 1 export
    predictQR
    added 1 export
    predict.gcrq
  • R
    R 3.4.0 released · 2017-04-21
  • 0.3-2
    record
    2016-09-20 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 0.3-1
    record
    2015-06-23 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 0.3-0
    record
    2014-07-25 · diff ↗ ·
    removed 1 export
    ncross.rq.fitB
    added 1 export
    vcov.gcrq
  • 0.1-3
    record
    2014-07-02 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 0.1-2
    record
    2013-10-29 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 0.1-1
    record
    2013-01-10
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2013-01-10
Total releases
24 / 13 yrs
License
GPL
Minimum R
≥ 3.5.0
Bundled data
7.9 KB / 2 files
Download size
175 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("quantregGrowth")

The package provides a citation file, so citation() returns the authors' own entry.

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 quantregGrowth version 1.7-2 [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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