R Observatory: Metrics for CausalModels version 0.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

CausalModels

0.2.1Package record

Causal Inference Modeling for Estimation of Causal Effects

0packages depend

3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Joshua AndersonCRAN page ↗GitHub ↗Issues ↗

Provides an array of statistical models common in causal inference such as standardization, IP weighting, propensity matching, outcome regression, and doubly-robust estimators. Estimates of the average treatment effects from each model are given with the standard error and a 95% Wald confidence interval (Hernan, Robins (2020) https://miguelhernan.org/whatifbook/).

Changes in 0.2.1

Fixed

generic treatment names bug

From NEWS.md in the release

Install

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

install.packages("CausalModels", 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("ander428/CausalModels")

Development version from ander428/CausalModels. 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-causalmodels

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-CausalModels

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-CausalModels

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: 2.3 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 0.2.1

READMEYes · 194 wordsVignettesNoNEWSYes · 67% structured · mentions 0.2.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 9
Examples that run: 100%8 run in a plain check
Exported functions with examples: 89%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

3K

CRAN downloads in the past year

Rank #14,089 · ~8/day · ~247/mo

Releases R versions

Daily download trend is not available in this view yet.

33930 days

82290 days

3K1 year

Compare downloads with other packages →

Also on89 r2u10 autocran

How downloads are counted

Repository

ander428/causalmodels ↗Account: ander428

13Stars

2Forks

0Open issues

0Open PRs

0Releases

32Commits

1Commit identities

32 commits · Last activity 2025-04-25 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 1,089
Median days to close, 50 most recently updated closed PRs: not measured

Stars over time

2024-06-04 · 122026-07-24 · 13

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/ander428/causalmodels on 2026-10-11.

Continuous integration (1)

Travis CI (config file)

Docs source (1)

README.Rmd

Reproducibility and dev environment (1)

renv

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing CausalModels adds 29 packages (16 with compiled code, 32 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, causaldata 2.1 MB.

Depends (0)

none

Imports (5)

statscausaldatabootmultcomp geepack

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

People & History

People (4)

Reviewer

Reviewer

Reviewer

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.2.1Latest
record
2025-04-25 · current release · diff ↗
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
0.2.0
record
2022-11-23 · diff ↗ ·
added 1 export
gestimation
0.1.0
record
2022-05-30
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-05-30
Total releases: 3 / 4 yrs
License: GPL-3 OSI
Download size: 23 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CausalModels")

Format

Anderson, J., Lee, E., Patel, Y., & Rakovski, C. (2025). CausalModels: Causal Inference Modeling for Estimation of Causal Effects (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.CausalModels

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 CausalModels version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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