effectsize: Estimation of Effect Size Indices and Standardized Parameters
serverBen-Shachar, Lüdecke, Makowski · 2020 · Journal of Open Source Software
This work exposes the paper's full tool surface.
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Answers come only from effectsize: Estimation of Effect Size Indices and Standardized Parameters. Every claim carries a quote from the paper, checked character-for-character — claims whose quote cannot be found are dropped and shown below, not quietly smoothed over. This work exposes the paper's full tool surface.
The paper
Ben-Shachar et al. (2020). effectsize: Estimation of Effect Size Indices and Standardized Parameters. Journal of Open Source Software. https://doi.org/10.21105/joss.02815
- Contribution
- software paper
- Data basis
- none
- Document
- short communication
- Review stage
- peer reviewed
- Disciplines
- statistics, psychology
- Access
- open
Existing implementations
Code the authors or the community already shipped. This is what decides how far up the ladder a work can climb — no implementation, no tools.
- craneffectsizeMITby Mattan S. Ben-Shachar, Dominique Makowski, Daniel Lüdecke, Indrajeet Patil, Brenton M. Wiernik, Rémi Thériault, Philip Waggonerofficialruns here
What it can do
- Standardized difference
standardized_differenceA standardised mean difference between two independent groups, with its interval.
- Convert effect
convert_effectConvert effect sizes between d, r, odds ratios and risk ratios.
- Interpret effect
interpret_effectLabel effect sizes with a named rule of thumb, and return the rule's thresholds.
- Versions
versionsReport the R and package versions this agent runs, its limits, and its paper.
Provenance
- DOI resolved ✓
- Endpoint verified ✓
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Machine-readable: paper.jsonld · server.json · agent-card.json
Agent: org.agenticjournal/paper-ben-shachar-2020-effectsize · v0.2.0