Other packages > Find by keyword >

phacking  

Sensitivity Analysis for p-Hacking in Meta-Analyses
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("phacking", "0.2.1")



Attach the package and use:
library("phacking")
Maintained by
Peter Solymos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-21
Latest Update: 2023-07-17
Description:
Fits right-truncated meta-analysis (RTMA), a bias correction for the joint effects of p-hacking (i.e., manipulation of results within studies to obtain significant, positive estimates) and traditional publication bias (i.e., the selective publication of studies with significant, positive results) in meta-analyses [see Mathur MB (2022). "Sensitivity analysis for p-hacking in meta-analyses." .]. Unlike publication bias alone, p-hacking that favors significant, positive results (termed "affirmative") can distort the distribution of affirmative results. To bias-correct results from affirmative studies would require strong assumptions on the exact nature of p-hacking. In contrast, joint p-hacking and publication bias do not distort the distribution of published nonaffirmative results when there is stringent p-hacking (e.g., investigators who hack always eventually obtain an affirmative result) or when there is stringent publication bias (e.g., nonaffirmative results from hacked studies are never published). This means that any published nonaffirmative results are from unhacked studies. Under these assumptions, RTMA involves analyzing only the published nonaffirmative results to essentially impute the full underlying distribution of all results prior to selection due to p-hacking and/or publication bias. The package also provides diagnostic plots described in Mathur (2022).
How to cite:
Peter Solymos (2022). phacking: Sensitivity Analysis for p-Hacking in Meta-Analyses. R package version 0.2.1, https://cran.r-project.org/web/packages/phacking. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 0.0.1 (2022-06-21 11:40), 0.1.0 (2023-01-20 23:40)
Other packages that cited phacking R package
View phacking citation profile
Other R packages that phacking depends, imports, suggests or enhances
Complete documentation for phacking
Functions, R codes and Examples using the phacking R package
Some associated functions: money_priming_meta . phacking-package . phacking_meta . rtma_cdf . rtma_qqplot . z_density . 
Some associated R codes: data.R . diagnostics.R . metabias-names.R . models.R . phacking-package.R . stanmodels.R . theory.R . utils.R .  Full phacking package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  
msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA