Repository files navigation

jeffreysmeta is an R package that provides 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 (perMathur, 2022).

You can install jeffreysmeta from CRAN with:

install.packages("jeffreysmeta")

You can install the development version of jeffreysmeta fromGitHub with:

# install.packages("devtools")devtools::install_github("mathurlabstanford/jeffreysmeta")

You may also need to installStan.

Fit a bias-corrected meta-analysis of an example dataset from the package.

library(jeffreysmeta)jeffreysmeta_meta(money_priming_meta$yi,money_priming_meta$vi)