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license: MIT
title: 'phacking: Sensitivity Analysis for p-Hacking in Meta-Analyses'
version: 0.2.1
doi: 10.32614/CRAN.package.phacking
abstract: 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." <https://doi.org/10.31219/osf.io/ezjsx>.].
  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).
authors:
- family-names: Solymos
  given-names: Peter
  email: peter@analythium.io
  orcid: https://orcid.org/0000-0001-7337-1740
- family-names: Mathur
  given-names: Maya
  email: mmathur@stanford.edu
- family-names: Braginsky
  given-names: Mika
  email: mika.br@gmail.com
repository: https://mathurlabstanford.r-universe.dev
repository-code: https://github.com/mathurlabstanford/phacking
commit: c5cc0ed2438806153e230662ee20c194fb48bec5
url: https://mathurlabstanford.github.io/phacking/
contact:
- family-names: Solymos
  given-names: Peter
  email: peter@analythium.io
  orcid: https://orcid.org/0000-0001-7337-1740