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ppmlasso

1.5

Point Process Models with LASSO-Type Penalties

0packages depend
3.5Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Ian RennerFirst published 2013-10-156 releasesCRAN page ↗

Toolkit for fitting point process models with sequences of LASSO penalties ("regularisation paths"), as described in Renner, I.W. and Warton, D.I. (2013) doi:10.1111/j.1541-0420.2012.01824.x. Regularisation paths of Poisson point process models or area-interaction models can be fitted with LASSO, adaptive LASSO or elastic net penalties. A number of criteria are available to judge the bias-variance tradeoff.

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
9
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
90%
Return-value docs
69%
References docs
29%

Downloads

3.5K
CRAN downloads in the past year
Rank #13,150 · ~10/day · ~294/mo
Daily download trend is not available in this view yet.
20630 days
77890 days
3.5K1 year
Compare downloads with other packages →
Also on117 r2u14 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (2)
R >= 4.0.0spatstat
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.5Latest
    2025-10-11 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.4
    2024-02-01 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.3
    2022-12-01 · diff ↗
  • unarchivedReturned to CRAN
    2022-12-01
  • archivedRemoved from CRAN
    2022-11-22
    issues were not corrected in time
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2
    2022-04-05 · diff ↗
  • unarchivedReturned to CRAN
    2022-04-05
  • R
    R 4.1.0 released · 2021-05-18
  • archivedRemoved from CRAN
    2021-03-28
    issues were not corrected in time
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
Show 8 earlier events
  • 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
  • 1.1
    2015-01-30 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0
    2013-10-15
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-10-15
Total releases
6 / 13 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
Bundled data
285 KB / 1 file
Download size
317 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ppmlasso")
Renner, I. (2025). ppmlasso: Point Process Models with LASSO-Type Penalties (Version 1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.ppmlasso

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 ppmlasso version 1.5 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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