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historicalborrow

1.1.1

Non-Longitudinal Bayesian Historical Borrowing Models

0packages depend
7Kdownloads / year
100.0%test coverage
13/13checks pass

Overview

About
Maintained by William Michael LandauFirst published 2022-09-133 releasesCRAN page ↗GitHub ↗

Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a hierarchical model and a mixture model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through benchmark models (independent and pooled). Some of the methods are discussed by Viele et al. (2013) doi:10.1002/pst.1589.

Install

Health

CRAN checks
13OK
Slowest check: 6.9 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.62
100.0%
Coverage · measured lines
100%
Documentation · exports
11
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 175 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
87%
Return-value docs
100%
References docs
0%

Downloads

7K
CRAN downloads in the past year
Rank #6,985 · ~19/day · ~587/mo
Daily download trend is not available in this view yet.
19430 days
1.2K90 days
7K1 year
Compare downloads with other packages →
Also on107 r2u

Repository

Repository
3Stars
3Forks
0Open issues
0Open PRs
4Releases
49Commits
3Contributors
bayesian-statisticsclinical-trialshistorical-data
49 commits · Last activity 2026-02-09

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/wlandau/historicalborrow on 2026-08-16.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (2)
lintrRStudio project
Governance and community (1)
Issue templates
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Copyright holders (1)
Copyright holder
Reviewers (1)
Reviewer
Listed in earlier versions (1)
no longer listed · 1.0.4 to 1.1.1
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.1Latest
    2026-02-09 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.0
    2024-09-10 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.4
    2022-09-13
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-13
Total releases
3 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Download size
89 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("historicalborrow")
Landau, W. M., Eli Lilly and Company, , & Man, A. (2026). historicalborrow: Non-Longitudinal Bayesian Historical Borrowing Models (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.historicalborrow

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for historicalborrow version 1.1.1 [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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