scrutiny: Error Detection in Science (original) (raw)
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.
| Version: | 0.5.0 |
|---|---|
| Depends: | R (≥ 3.4.0) |
| Imports: | cli, corrr, dplyr, ggplot2, ggrepel, glue, lifecycle, magrittr, methods, purrr, rlang (≥ 1.1.0), stats, stringr, tibble, tidyr, tidyselect |
| Suggests: | knitr, pkgload, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-09-22 |
| DOI: | 10.32614/CRAN.package.scrutiny |
| Author: | Lukas Jung [aut, cre], Aurélien Allard [ctb] |
| Maintainer: | Lukas Jung |
| BugReports: | https://github.com/lhdjung/scrutiny/issues |
| License: | MIT + file |
| URL: | https://lhdjung.github.io/scrutiny/,https://github.com/lhdjung/scrutiny/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | scrutiny results |
Documentation:
| Reference manual: | scrutiny.pdf |
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| Vignettes: | Consistency tests in depth (source, R code) Implementing your consistency test (source, R code) DEBIT (source, R code) Developer tools (source, R code) Duplication analysis (source, R code) GRIM (source, R code) GRIMMER (source, R code) Related software (source, R code) Rounding in depth (source, R code) Rounding options (source, R code) Data wrangling (source, R code) |
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