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powerly

1.10.0

Sample Size Analysis for Psychological Networks and More

0packages depend
3.7Kdownloads / year
45.8%test coverage
13/13checks pass

Overview

About
Maintained by Mihai ConstantinFirst published 2021-09-306 releasesCRAN page ↗GitHub ↗

An implementation of the sample size computation method for network models proposed by Constantin et al. (2023) doi:10.1037/met0000555. The implementation takes the form of a three-step recursive algorithm designed to find an optimal sample size given a model specification and a performance measure of interest. It starts with a Monte Carlo simulation step for computing the performance measure and a statistic at various sample sizes selected from an initial sample size range. It continues with a monotone curve-fitting step for interpolating the statistic across the entire sample size range. The final step employs stratified bootstrapping to quantify the uncertainty around the fitted curve.

Install

Health

CRAN checks
13OK
Slowest check: 4.9 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.55
45.8%
Coverage · measured lines
100%
Documentation · exports
10
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 376 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
100%
References docs
7%

Downloads

3.7K
CRAN downloads in the past year
Rank #10,718 · ~10/day · ~311/mo
Daily download trend is not available in this view yet.
22530 days
92790 days
3.7K1 year
Compare downloads with other packages →
Also on173 r2u16 autocran

Repository

Repository
10Stars
6Forks
5Open issues
2Open PRs
28Releases
762Commits
2Contributors
network-modelspower-analysispsychologyr-packagesample-size-calculation
762 commits · Last activity 2025-10-03

Stars over time

2025-04-05 · 102026-07-07 · 10

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/mihaiconstantin/powerly on 2026-08-09.

Continuous integration (1)
GitHub Actions
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.10.0Latest
    2025-09-01 · current release · 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
  • 1.8.6
    2022-09-09 · diff ↗
  • 1.7.4
    2022-05-01 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.7.2
    2021-11-17 · diff ↗
  • 1.7.1
    2021-11-08 · diff ↗
  • 1.5.2
    2021-09-30
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-09-30
Total releases
6 / 5 yrs
License
MIT + file LICENSE OSI
Download size
1.6 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("powerly")
Constantin, M. (2025). powerly: Sample Size Analysis for Psychological Networks and More (Version 1.10.0) [Computer software]. https://doi.org/10.32614/CRAN.package.powerly

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 powerly version 1.10.0 [Data set]. HJJB, LLC. Data release v2026-08-09. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-09, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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