Study Design for Personalised Synthetic Controls
Overview
Tools for the design of prospective studies using Personalised Synthetic Controls. Can be used in either single arm or randomised studies.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-07
- OK13 OK2026-05-02
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- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-03-10
Documentation
- Help pages
- 10
- 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
- 0%
- psc-vignette HTML
Downloads
Repository
Stars over time
Issues over time
PRs over time
7 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/richjjackson/pscdesign on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
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Dependencies
Installing pscDesign adds 133 packages (70 with compiled code, 113 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-01-27 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-01-27
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 141 KB / 1 file
- Download size
- 376 KB
Cite
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Run in R for the authors' preferred citation:
citation("pscDesign")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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