effectcheck: Statistical Consistency Checker for Published Research Results
A conservative, assumption-aware statistical consistency checker
for already-extracted research-results text. Parses test statistics, effect
sizes, and confidence intervals across multiple citation styles including
American Psychological Association (APA), Harvard, Frontiers, PLOS ONE,
Scientific Reports, Nature Human Behaviour, PeerJ, eLife, PNAS, and others.
Recomputes effect sizes using all plausible variants when design is ambiguous,
and validates internal consistency. Supports t-tests, F-tests/ANOVA,
correlations, chi-square, z-tests, regression, and nonparametric tests.
Explicitly tracks all assumptions and uncertainty in output. Detects decision
errors (significance reversals) similar to 'statcheck'. From v0.4.0 file
extraction is no longer part of the package — pair with an external extractor
(e.g., 'docpluck' at <https://docpluck.app>) and pass the resulting text
to check_text(). Note: this package is under active development and results
should be independently verified. Use is at the sole responsibility of the
user. Contributions and verification reports are welcome.
| Version: |
0.7.17 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
stringr, stringi, dplyr, purrr, tibble, glue, logger, graphics, stats, utils |
| Suggests: |
shiny, shinythemes, DT, knitr, rmarkdown, testthat (≥
3.0.0), MBESS, effectsize, jsonlite, statcheck, xml2, rvest |
| Published: |
2026-10-08 |
| DOI: |
10.32614/CRAN.package.effectcheck |
| Author: |
Gilad Feldman 
[aut, cre] |
| Maintainer: |
Gilad Feldman <giladfel at gmail.com> |
| BugReports: |
https://github.com/giladfeldman/escicheck/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/giladfeldman/escicheck |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
effectcheck results |
Documentation:
Downloads:
Linking:
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