scrutiny-package: scrutiny: Error Detection in Science
In lhdjung/scrutiny: Error Detection in Science
scrutiny-package R Documentation
scrutiny: Error Detection in Science
Description
Test published summary statistics for consistency (Brown and Heathers, 2017, \Sexpr[results=rd]{tools:::Rd_expr_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.
Author(s)
Maintainer: Lukas Jung jung-lukas@gmx.net
Other contributors:
Aurélien Allard [contributor]
See Also
Useful links:
lhdjung/scrutiny documentation built on Sept. 28, 2024, 12:14 a.m.
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| scrutiny-package | R Documentation |
scrutiny: Error Detection in Science
Description
Test published summary statistics for consistency (Brown and Heathers, 2017, \Sexpr[results=rd]{tools:::Rd_expr_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.
Author(s)
Maintainer: Lukas Jung jung-lukas@gmx.net
Other contributors:
Aurélien Allard [contributor]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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