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PredPsych

0.6Package record

Predictive Approaches in Psychology

0packages depend
3.4Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Recent years have seen an increased interest in novel methods for analyzing quantitative data from experimental psychology. Currently, however, they lack an established and accessible software framework. Many existing implementations provide no guidelines, consisting of small code snippets, or sets of packages. In addition, the use of existing packages often requires advanced programming experience. 'PredPsych' is a user-friendly toolbox based on machine learning predictive algorithms. It comprises of multiple functionalities for multivariate analyses of quantitative behavioral data based on machine learning models.

Install

Health

CRAN checks
13OK
Slowest check: 4.0 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.6
READMEYes · 50 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
11includes a package overview page
Examples that run
75%6 run in a plain check · 2 hold no code
Exported functions with examples
89%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
82%

Downloads

3.4K
CRAN downloads in the past year
Rank #12,917 · ~9/day · ~286/mo
Daily download trend is not available in this view yet.
41730 days
87990 days
3.4K1 year
Compare downloads with other packages →
Also on89 r2u1 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing PredPsych adds 77 packages (44 with compiled code, 67 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1 (2017)
Releases (6)

Pick two releases to compare their code metrics.

  • 0.6Latest
    record
    2026-10-15 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.5
    record
    2025-10-31 · diff ↗
  • 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
  • 0.4
    record
    2019-07-23 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.3
    record
    2017-09-12 · diff ↗
  • 0.2
    record
    2017-06-26 · diff ↗ ·
    added 2 exports
    overallConfusionMetrics, predictNewData
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1
    record
    2017-02-15
Show 1 earlier eventHide 1 earlier event
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-02-15
Total releases
6 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
550 KB / 1 file
Download size
587 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PredPsych")
Koul, A. (2026). PredPsych: Predictive Approaches in Psychology (Version 0.6) [Computer software]. https://doi.org/10.32614/CRAN.package.PredPsych

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 PredPsych version 0.6 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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