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outstandR

2.0.0

Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data

0packages depend
1.5Kdownloads / year
67.3%test coverage
13/13checks pass

Overview

About
Maintained by Nathan GreenFirst published 2026-01-212 releasesCRAN page ↗GitHub ↗

For the problem of indirect treatment comparison with limited subject-level data, this package provides tools for model-based standardisation with several different computation approaches. See Remiro‐Azócar A, Heath A, Baio G (2022) ``Parametric G‐computation for compatible indirect treatment comparisons with limited individual patient data'', Res. Synth. Methods, 1–31. ISSN 1759-2879, doi:10.1002/jrsm.1565.

Install

Health

CRAN checks
13OK
Slowest check: 9.2 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.61
67.3%
Coverage · measured lines
100%
Documentation · exports
19
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
  • OK2026-07-29
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-27
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 935 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
92%
Documented parameters
97%
Return-value docs
100%
References docs
12%

Downloads

1.5K
CRAN downloads in the past year
Rank #17,348 · ~4/day · ~125/mo
Daily download trend is not available in this view yet.
14330 days
62190 days
1.5K1 year
Compare downloads with other packages →
Also on49 r2u15 autocran

Repository

Repository
8Stars
1Forks
20Open issues
0Open PRs
2Releases
559Commits
1Contributors
bayesian-inferencepopulation-adjustment
License GPL-3.0 · 559 commits · Last activity 2026-07-30 · 0% stars, 30d

Stars over time

2025-04-24 · 42026-07-07 · 8

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/statisticshealtheconomics/outstandr on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Research and citation (1)
CITATION.cff
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
29 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (3)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

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

  • 2.0.0Latest
    2026-06-10 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-21
Total releases
2 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Bundled data
24 KB / 6 files
Download size
415 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("outstandR")

The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for outstandR version 2.0.0 [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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