R Observatory: Metrics for stdReg2 version 1.0.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

stdReg2

1.0.7

Regression Standardization for Causal Inference

1packages depend

3.3Kdownloads / year

59.0%test coverage

13/13checks pass

Overview

About

Maintained by Michael C SachsFirst published 2024-09-133 releasesCRAN page ↗GitHub ↗

Contains more modern tools for causal inference using regression standardization. Four general classes of models are implemented; generalized linear models, conditional generalized estimating equation models, Cox proportional hazards models, and shared frailty gamma-Weibull models. Methodological details are described in Sjölander, A. (2016) doi:10.1007/s10654-016-0157-3. Also includes functionality for doubly robust estimation for generalized linear models in some special cases, and the ability to implement custom models.

Install

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

install.packages("stdReg2", 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("sachsmc/stdReg2")

Development version from sachsmc/stdReg2. 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-stdreg2

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-stdReg2

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-stdReg2

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

Health

CRAN checks

13OK

Slowest check: 2.8 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.12

59.0%

Coverage · measured lines

100%

Documentation · exports

5

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-05-21
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-05-08
11 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 252 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 90%
Return-value docs: 93%
References docs: 48%

Downloads

3.3K

CRAN downloads in the past year

Rank #7,848 · ~9/day · ~274/mo

Releases R versions

Daily download trend is not available in this view yet.

17830 days

1.1K90 days

3.3K1 year

Compare downloads with other packages →

Also on96 r2u21 autocran

Repository

GitHub ↗ sachsmc/stdreg2

6Stars

0Forks

2Open issues

0Open PRs

0Releases

84Commits

2Contributors

License AGPL-3.0 · 84 commits · Last activity 2026-05-28 · 0% stars, 30d

Stars over time

2025-07-08 · 42026-07-07 · 6

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/sachsmc/stdreg2 on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (5)

data.table drgee genericssurvivalsandwich

LinkingTo (0)

none

Suggests (5)

causaldata knitrnnetrmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

outstandR

Code & Tests

Datasets

People & History

People (5)

Maintainer (1)

Michael C Sachs

Author, Maintainer

Authors (5)

Michael C Sachs

Author, Maintainer

Adam Brand

Author

Erin E Gabriel

Author

Johan Sebastian Ohlendorff

Author

Arvid Sjölander

Author

Package Timeline

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

1.0.7Latest
2026-05-14 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.3
2025-02-28 · diff ↗
1.0.1
2024-09-13
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-09-13
Total releases: 3 / 2 yrs
License: AGPL (>= 3) OSI
Minimum R: ≥ 4.1.0
Bundled data: 5.6 KB / 2 files
Download size: 109 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("stdReg2")

Format

Sachs, M. C., Brand, A., Gabriel, E. E., Ohlendorff, J. S., & Sjölander, A. (2026). stdReg2: Regression Standardization for Causal Inference (Version 1.0.7) [Computer software]. https://doi.org/10.32614/CRAN.package.stdReg2

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 stdReg2 version 1.0.7 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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