R Observatory: Metrics for geocausal version 0.4.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

geocausal

0.4.2

Causal Inference with Spatio-Temporal Data

0packages depend

3.8Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Mitsuru MukaigawaraFirst published 2023-08-2110 releasesCRAN page ↗GitHub ↗

Spatio-temporal causal inference based on point process data. You provide the raw data of locations and timings of treatment and outcome events, specify counterfactual scenarios, and the package estimates causal effects over specified spatial and temporal windows. See Papadogeorgou, et al. (2022) doi:10.1111/rssb.12548 and Mukaigawara, et al. (2024) doi:10.31219/osf.io/5kc6f.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("mmukaigawara/geocausal")

Development version from mmukaigawara/geocausal. Installs pak first if it is not already available.

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-geocausal

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-geocausal

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-geocausal

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 3.3 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

22

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

READMEYes · 351 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 50%
Documented parameters: 100%
Return-value docs: 100%
References docs: 34%

Downloads

3.8K

CRAN downloads in the past year

Rank #6,663 · ~10/day · ~319/mo

Releases R versions

Daily download trend is not available in this view yet.

30330 days

1.2K90 days

3.8K1 year

Compare downloads with other packages →

Also on124 r2u6 autocran

Repository

GitHub ↗ mmukaigawara/geocausal

70Stars

6Forks

0Open issues

0Open PRs

0Releases

752Commits

3Contributors

752 commits · Last activity 2026-06-25 · 0% stars, 30d

Stars over time

2025-08-12 · 502026-07-14 · 70

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/mmukaigawara/geocausal on 2026-08-16.

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

27 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (22)

crsuggest ggthemes data.table dplyr furrr ggplot2 ggpubr mclust progressr purrr Rglpk sf spatstat.explore spatstat.geom spatstat.model spatstat.univar spatstat.random terra tibble tidyr tidyselect tidyterra

LinkingTo (0)

none

Suggests (5)

elevatr gridExtra knitr readr gridGraphics

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (5)

Maintainer (1)

Mitsuru Mukaigawara

Maintainer, Author

Authors (5)

Mitsuru Mukaigawara

Maintainer, Author

Kosuke Imai

Author

Jason Lyall

Author

Georgia Papadogeorgou

Author

Lingxiao Zhou

Author · added in 0.3.1

Package Timeline

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

0.4.2Latest
2026-06-26 · current release · diff ↗
0.4.1
2026-05-25 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.4.0
2026-02-18 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.3.4
2025-01-07 · diff ↗
0.3.3
2024-12-04 · diff ↗
0.3.2
2024-07-19 · diff ↗
0.3.1
2024-07-07 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.3.0
2024-03-25 · diff ↗
0.2.0
2023-09-21 · diff ↗
0.1.0
2023-08-21
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-08-21
Total releases: 10 / 3 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 752 KB / 5 files
Download size: 845 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("geocausal")

Format

Mukaigawara, M., Imai, K., Lyall, J., Papadogeorgou, G., & Zhou, L. (2026). geocausal: Causal Inference with Spatio-Temporal Data (Version 0.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.geocausal

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for geocausal version 0.4.2 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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