scrutiny
Error Detection in Science
Test published summary statistics for consistency (Brown and Heathers, 2017, doi:10.1177/1948550616673876; Allard, 2018, https://aurelienallard.netlify.app/post/anaytic-grimmer-possibility-standard-deviations/; Heathers and Brown, 2019, https://osf.io/5vb3u/). The package also provides infrastructure for implementing new error detection techniques.
- Version0.5.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release09/22/2024
Documentation
Team
Lukas Jung
Aurélien Allard
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- Imports14 packages
- Suggests4 packages