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studyStrap

1.0.1Package record

Study Strap and Multi-Study Learning Algorithms

0packages depend
2.5Kdownloads / year
–test coverage
11/13flavors OK

Overview

About
Maintained by Gabriel LoewingerCRAN page ↗Declared funders: National Science Foundation Grant DMS1810829 and National Institutes of Health Grant T32 AI 007358

Implements multi-study learning algorithms such as merging, the study-specific ensemble (trained-on-observed-studies ensemble) the study strap, the covariate-matched study strap, covariate-profile similarity weighting, and stacking weights. Embedded within the 'caret' framework, this package allows for a wide range of single-study learners (e.g., neural networks, lasso, random forests). The package offers over 20 default similarity measures and allows for specification of custom similarity measures for covariate-profile similarity weighting and an accept/reject step. This implements methods described in Loewinger, Kishida, Patil, and Parmigiani. (2019) doi:10.1101/856385.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from:
  ‘pls’ ‘tibble’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 6.3 min · r-release-macos-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE13 NOTE2026-06-09
  • ERROR12 NOTE, 1 ERROR2026-06-08
  • WARNING12 NOTE, 1 WARNING2026-06-07
  • NOTE13 NOTE2026-05-02
  • ERROR11 NOTE, 1 ERROR2026-04-25
Show 1 earlier changeHide 1 earlier change
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
100%7 run in a plain check
Exported functions with examples
100%
Documented parameters
92%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.5K
CRAN downloads in the past year
Rank #13,604 · ~7/day · ~209/mo
Daily download trend is not available in this view yet.
34330 days
86090 days
2.5K1 year
Compare downloads with other packages →
Also on74 r2u3 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing studyStrap adds 160 packages (87 with compiled code, 112 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.1
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 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
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.1Latest
    record
    2020-02-20 · current release · diff ↗
  • 1.0.0
    record
    2020-02-20
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-02-20
Total releases
2 / 6 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.1
Download size
36 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("studyStrap")
Loewinger, G., Grant DMS1810829, N. S. F., Grant T32 AI 007358, N. I. o. H., Parmigiani, G., & Patil, P. (2026). studyStrap: Study Strap and Multi-Study Learning Algorithms (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.studyStrap

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for studyStrap version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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