R Observatory: Metrics for robust2sls version 0.2.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

robust2sls

0.2.4Package record

Outlier Robust Two-Stage Least Squares Inference and Testing

0packages depend

5.2Kdownloads / year

96.5%test coverage

13/13flavors OK

Overview

About

Maintained by Jonas KurleCRAN page ↗GitHub ↗Issues ↗

An implementation of easy tools for outlier robust inference in two-stage least squares (2SLS) models. The user specifies a reference distribution against which observations are classified as outliers or not. After removing the outliers, adjusted standard errors are automatically provided. Furthermore, several statistical tests for the false outlier detection rate can be calculated. The outlier removing algorithm can be iterated a fixed number of times or until the procedure converges. The algorithms and robust inference are described in more detail in Jiao (2019) https://drive.google.com/file/d/1qPxDJnLlzLqdk94X9wwVASptf1MPpI2w/view.

Changes in 0.2.4

This version only updates the unit tests and vignettes.

Changes to Unit Tests

discovered slight changes in 14th or 15th decimals
discovered changes to some random number generations from generate_data(),

which were traced back to changes in the environment and changes in the MASS pkg

restructured the tests to rely on fixtures
created fixed datasets, stored in tests/testthat/testdata/
replaced generate_data() with readRDS() where possible
for mc_grid(), artifical data generation happens within the function body

using generate_data(); to make it use fixed datasets, used the mockery pkg

and macked the function to read in the stored datasets instead of drawing

randim data

Show all changes in 0.2.4Hide the rest of the changes in 0.2.4

fixed GH issue #19, making parallel execution more robust
introduced some tolerance to numerical comparisons
sup_test simulates pvalue, allowed for 0.015 tolerance diff (e.g. across OS)
iis_init snapshots rounded to tolerance 12 digits, set to 0 if smaller than that

Detailed Comments

created two tags, which represented steps along the way of these improvements:
v0.2.3-fixtures was developed on the old environment, changed tests to rely

on the fixed datasets and ensured all tests still passed; then converted to

new environment

v0.2.3-ivreg-fixes updated code (tests and vignettes) to avoid new warnings

about collinearity, which did not appear previously

also updated the gets pkg to v0.40, no changes were required

From NEWS.md in the release

Install

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

install.packages("robust2sls", 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("jkurle/robust2sls")

Development version from jkurle/robust2sls. 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-robust2sls

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-robust2sls

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-robust2sls

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: 4.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
WARNING12 OK, 1 WARNING2026-06-07

Show 1 earlier changeHide 1 earlier change

OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.4

READMEYes · 90 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 0.2.4Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 49 (10 internal)includes a package overview page
Examples that run: no examples
Exported functions with examples: 0%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (3)

Introduction to the robust2sls Package HTML
Monte Carlo Simulations HTML
Outlier Testing HTML

How these are measured

Downloads

5.2K

CRAN downloads in the past year

Rank #10,168 · ~14/day · ~435/mo

Releases R versions

Daily download trend is not available in this view yet.

36330 days

98190 days

5.2K1 year

Compare downloads with other packages →

Also on81 r2u11 autocran

How downloads are counted

Repository

jkurle/robust2sls ↗Account: jkurle

1Stars

0Forks

0Open issues

1Open PRs

7Releases

507Commits

1Commit identities

507 commits · Last activity 2026-08-14 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 61%
Median days to close, 50 most recently updated closed issues: 201
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2022-08-15 · 12026-07-07 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/jkurle/robust2sls on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)

README.Rmd

Coverage (1)

Coverage reporting (Codecov)

Reproducibility and dev environment (1)

data-raw/

Show all practicesHide 2 practices

CRAN release process (2)

cran-comments.mdrevdep/

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Installing robust2sls adds 84 packages (39 with compiled code, 64 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.

Depends (1)

R >= 2.10

Imports (7)

exactci foreach ivregMASSmathjaxr pracmastats

LinkingTo (0)

none

Suggests (16)

covrdatasetsdoFuture doParallel doRNG future ggplot2grDevicesivgets knitr mockeryparallelparallelly rmarkdown testthatutils

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Jonas Kurle

Author, Maintainer since 0.1.0 (2021)

Releases (6)

Pick two releases to compare their code metrics.

0.2.4Latest
record
2026-08-20 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.2.3
record
2025-05-21 · 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
0.2.2
record
2023-01-11 · diff ↗
0.2.1
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2022-08-15 · diff ↗ ·
added 5 exports
extract_formula, iis_init, nonmissing, selection_iis, simes
R
R 4.2.0 released · 2022-04-22
0.2.0
record
2022-02-14 · diff ↗ ·
added 8 exports
counttest, gauge_covar, globaltest, multi_cutoff, mvn_sup, proptest, sumtest, suptest
0.1.0
record
2021-11-23
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-11-23
Total releases: 6 / 5 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.10
Download size: 738 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("robust2sls")

Format

Kurle, J. (2026). robust2sls: Outlier Robust Two-Stage Least Squares Inference and Testing (Version 0.2.4) [Computer software]. https://doi.org/10.32614/CRAN.package.robust2sls

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 robust2sls version 0.2.4 [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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