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multisite.accuracy

1.3Package record

Estimation of Accuracy in Multisite Machine-Learning Models

0packages depend
2.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

The effects of the site may severely bias the accuracy of a multisite machine-learning model, even if the analysts removed them when fitting the model in the 'training set' and applying the model in the 'test set' (Solanes et al., Neuroimage 2023, 265:119800). This simple R package estimates the accuracy of a multisite machine-learning model unbiasedly, as described in (Solanes et al., Psychiatry Research: Neuroimaging 2021, 314:111313). It currently supports the estimation of sensitivity, specificity, balanced accuracy (for binary or multinomial variables), the area under the curve, correlation, mean squarer error, and hazard ratio for binomial, multinomial, gaussian, and survival (time-to-event) outcomes.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.3
READMENoVignettesNoNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
1
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.6K
CRAN downloads in the past year
Rank #17,725 · ~7/day · ~218/mo
Daily download trend is not available in this view yet.
30430 days
73090 days
2.6K1 year
Compare downloads with other packages →
Also on78 r2u5 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing multisite.accuracy adds 74 packages (39 with compiled code, 62 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, metafor 4.8 MB.

Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0 (2021)
Releases (4)

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
  • 1.3Latest
    record
    2024-07-31 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2
    record
    2023-04-18 · diff ↗
  • 1.1
    record
    2022-05-05 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0
    record
    2021-05-28
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-05-28
Total releases
4 / 5 yrs
License
GPL-3 OSI
Download size
6.5 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("multisite.accuracy")
Radua, J. (2024). multisite.accuracy: Estimation of Accuracy in Multisite Machine-Learning Models (Version 1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.multisite.accuracy

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 multisite.accuracy version 1.3 [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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