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effectcheck  

Statistical Consistency Checker for Published Research Results
View on CRAN: Click here


Download and install effectcheck package within the R console
Install from CRAN:
install.packages("effectcheck")

Install from Github:
library("remotes")
install_github("cran/effectcheck")

Install by package version:
library("remotes")
install_version("effectcheck", "0.2.3")



Attach the package and use:
library("effectcheck")
Maintained by
Gilad Feldman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-25
Latest Update: 2026-03-25
Description:
A conservative, assumption-aware statistical consistency checker for published research results. Parses test statistics, effect sizes, and confidence intervals from text, PDF, HTML, and Word documents 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. Provides 'statcheck'-compatible API functions for batch processing of files and directories. Explicitly tracks all assumptions and uncertainty in output. Detects decision errors (significance reversals) similar to 'statcheck'. 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.
How to cite:
Gilad Feldman (2026). effectcheck: Statistical Consistency Checker for Published Research Results. R package version 0.2.3, https://cran.r-project.org/web/packages/effectcheck. Accessed 03 Oct. 2026.
Previous versions and publish date:
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Functions, R codes and Examples using the effectcheck R package
Full effectcheck package functions and examples
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