R Observatory: Metrics for ppmlasso version 1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ppmlasso

1.5Package record

Point Process Models with LASSO-Type Penalties

0packages depend

3.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Ian RennerCRAN 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.

Changes in 1.5

Fixed documentation with envelope-methods and updated DESCRIPTION with the required authors@R field.

From inst/NEWS in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("ppmlasso", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-ppmlasso

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-ppmlasso

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-ppmlasso

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.5

READMENoVignettesNoNEWSYes · 0% structured · mentions 1.5Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 21 (1 internal)includes a package overview page
Examples that run: 93%14 run in a plain check · 1 hold no code
Exported functions with examples: 100%
Documented parameters: 90%
Return-value docs: 69%
Help pages citing references: 29%

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #15,293 · ~9/day · ~275/mo

Releases R versions

Daily download trend is not available in this view yet.

32730 days

79090 days

3.3K1 year

Compare downloads with other packages →

Also on83 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing ppmlasso adds 18 packages (14 with compiled code, 18 MB of source tarballs). Heaviest: data.table 5.7 MB, spatstat 4.3 MB, spatstat.data 2.9 MB.

Depends (2)

R >= 4.0.0spatstat

Imports (8)

methodsdata.tablelatticestatsplyr spatstat.explore spatstat.model spatstat.geom

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Ian Renner

Author, Maintainer since 1.0 (2013)

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.5Latest
record
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
record
2024-02-01 · diff ↗
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2022-12-01
1.3
record
2022-12-01 · diff ↗
archivedRemoved from CRAN
2022-11-22
issues were not corrected in time
R
R 4.2.0 released · 2022-04-22
unarchivedReturned to CRAN
2022-04-05
1.2
record
2022-04-05 · diff ↗ ·
removed 4 exports
env.var, findres, point.interactions, sample.quad

added 7 exports
findRes, getEnvVar, griddify, plotFit, plotPath, pointInteractions, sampleQuad
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 eventsHide 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
record
2015-01-30 · diff ↗ ·
removed 1 export
ppm.dat

added 1 export
ppmdat
R
R 3.1.0 released · 2014-04-10
1.0
record
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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ppmlasso")

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ppmlasso version 1.5 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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