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.
Last updated
10.76 score 10 stars 21 dependents 72 scripts 19k downloadsunsum - Reconstruct Raw Data from Summary Statistics
Reconstructs all possible raw data that could have led to reported summary statistics. Provides a wrapper for the 'Rust' implementation of the 'CLOSURE' algorithm.
Last updated
rustcargo
6.15 score 7 stars 16 scripts 419 downloadsroundwork - Rounding Infrastructure
Flexible rounding functions for use in error detection. They were outsourced from the 'scrutiny' package.
Last updated
5.01 score 1 dependents 23 scripts 213 downloadsmoder - Mode Estimation
Determines single or multiple modes (most frequent values). Checks if missing values make this impossible, and returns 'NA' in this case. Dependency-free source code. See Franzese and Iuliano (2019) <doi:10.1016/B978-0-12-809633-8.20354-3>.
Last updated
4.60 score 1 stars 20 scripts 241 downloads