R Observatory: Metrics for ivreg version 0.6-8

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ivreg

0.6-8

Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics

18packages depend

159.8Kdownloads / year

68.3%test coverage

13/13checks pass

Overview

About

Maintained by Achim ZeileisFirst published 2020-09-0310 releasesCRAN page ↗GitHub ↗

Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.

Install

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

install.packages("ivreg", 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("zeileis/ivreg")

Development version from zeileis/ivreg. 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-ivreg

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-ivreg

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-ivreg

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

Health

CRAN checks

13OK

Slowest check: 2.1 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.16

68.3%

Coverage · measured lines

100%

Documentation · exports

5

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
OK2026-07-12
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-07-11
11 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 3 earlier snapshots

ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-12
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-03-10
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

READMEYes · 110 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 79%
Return-value docs: 100%
References docs: 38%

Downloads

159.8K

CRAN downloads in the past year

Rank #1,122 · ~438/day · ~13.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

9.3K30 days

33.2K90 days

159.8K1 year

Compare downloads with other packages →

Also on4K r2u2.2K conda_forge60 c2d4u

Repository

GitHub ↗ zeileis/ivreg

25Stars

6Forks

0Open issues

0Open PRs

0Releases

212Commits

6Contributors

instrumental-variablesregression-diagnosticstwo-stage-least-squares-regression

212 commits · Last activity 2026-07-10

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/zeileis/ivreg on 2026-08-16.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

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

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.6.0

Imports (5)

car Formula lmtestMASSstats

LinkingTo (0)

none

Suggests (11)

AER effects knitr insightparallelrmarkdown sandwich testthat modelsummary gt ggplot2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

18direct

0indirect

ivgets OneSampleMR comorbidPGS robust2sls PartialNetwork Rbearcat clarify clubSandwich insight ivcheck ivreg2r lmw marginaleffects modelsummary parameters performance report sketching

Code & Tests

Datasets

People & History

People (5)

Maintainer (1)

Achim Zeileis

Author, Maintainer

Authors (3)

Achim Zeileis

Author, Maintainer

John Fox

Author

Christian Kleiber

Author

Contributors (2)

R Core Team

Contributor · added in 0.6-3

Nikolas Kuschnig

Contributor · added in 0.6-1

Package Timeline

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

0.6-8Latest
2026-07-11 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.6-7
2026-03-02 · diff ↗
0.6-6
2026-02-09 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.6-5
2025-01-19 · diff ↗
0.6-4
2024-09-19 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.6-3
2024-04-20 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.6-2
2023-03-17 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.6-1
2021-10-15 · diff ↗
0.6-0
2021-05-28 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.5-0
2020-09-03

Show 1 earlier events

R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-09-03
Total releases: 10 / 6 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.6.0
Bundled data: 42 KB / 3 files
Download size: 857 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Causal Inference Econometrics

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ivreg")

Format

Zeileis, A., R Core Team, Fox, J., Kleiber, C., & Kuschnig, N. (2026). ivreg: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics (Version 0.6-8) [Computer software]. https://doi.org/10.32614/CRAN.package.ivreg

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 ivreg version 0.6-8 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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