R Observatory: Metrics for wdsmatch version 0.2.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

wdsmatch

0.2.2Package record

Weighted Double Score Matching for Survey-Weighted Causal Inference

0packages depend

1.9Kdownloads / year

95.4%test coverage

13/13flavors OK

Overview

About

Maintained by Yukang ZengCRAN page ↗

Implements weighted double score matching (WDSM) for estimating population-level causal effects from complex survey data. Combines propensity scores and prognostic scores with survey design weights for matching, survey-weighted imputation within match sets, and Hajek normalization to target the population average treatment effect (PATE) and the population average treatment effect on the treated (PATT). Supports both retrospective (treatment-dependent) and prospective (treatment-independent) sampling designs. Uses propensity probabilities and arm-specific prognostic scores for matching, with a complete quadratic bias correction in each arm's double score. Provides linearization-based multinomial replication variance estimates and centered normal Wald confidence intervals, retaining the original matching reuse coefficients without re-matching. Supplied scores can be held fixed for inference conditional on those scores. This weight-only interface does not encode survey strata, clusters, or design-specific replicate weights. The method is described by Zeng et al. (2026) doi:10.48550/arXiv.2610.25870.

Changes in 0.2.2

Add the WDSM preprint to package metadata and function documentation.
Add the paper and software references to citation("wdsmatch"), and provide AMA and BibTeX citations in the README.
Streamline repository documentation and remove dated submission records and generated validation outputs; retain the automated regression checks.
No changes to estimation, inference, public arguments, or example data.

From NEWS.md in the release

Install

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

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

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

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-wdsmatch

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-wdsmatch

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-wdsmatch

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: 1.2 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK8 OK2026-04-22

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.2

READMENoVignettesNoNEWSYes · 100% structured · mentions 0.2.2Citation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION

Help pages: 5
Examples that run: 100%3 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 40%

How these are measured

Downloads

1.9K

CRAN downloads in the past year

Rank #14,343 · ~5/day · ~162/mo

Releases R versions

Daily download trend is not available in this view yet.

34230 days

83390 days

1.9K1 year

Compare downloads with other packages →

Also on55 r2u2 autocran

How downloads are counted

Repository

ykzeng-yale/wdsmatch ↗Historical

Last recorded for this package on 2026-09-06. The latest repository scan did not link it to this package, so this repository is no longer tracked.

How these are measured

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing wdsmatch adds no packages beyond those that come with R.

Depends (1)

R >= 3.6.0

Imports (1)

stats

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (6)

Yukang Zeng

Author, Maintainer since 0.1.1 (2026)

Author

Author

Author

Author

Author

Releases (4)

Pick two releases to compare their code metrics.

0.2.2Latest
record
2026-10-21 · current release · diff ↗ ·
28 hours in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-20 06:56 to 2026-10-21 10:55 UTC, in 7 readings.
0.2.1
record
2026-09-20 · diff ↗
0.2.0
record
2026-09-11 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.1.1
record
2026-04-21
R
R 4.5.0 released · 2025-04-11

Across CRAN, the median accepted release of the past year spent 26 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2026-04-21
Total releases: 4 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.6.0
Bundled data: 8.1 KB / 1 file
Download size: 37 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("wdsmatch")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 wdsmatch version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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