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ppRep is an R package for Bayesian estimation and testing of effect sizes based on original and replication study using a power prior framework for dynamic discounting of the original data. For more information, see the paper
Pawel, S., Aust, F., Held, L., and Wagenmakers, E.-J. (2023). Power priors for replication studies. TEST. doi:10.1007/s11749-023-00888-5
## CRAN version
install.packages("ppRep")
## from GitHub
## install.packages("remotes") # requires remotes package
remotes::install_github(repo = "SamCH93/ppRep")library("ppRep")
## data from one replication of "Labels" experiment in Protzko et al. (2020)
to <- 0.2 # original SMD effect estimate
so <- 0.05 # original standard error
tr <- 0.09 # replication SMD effect estimate
sr <- 0.05 # replication standard error
## compute and plot posterior density with 95% HPD credible intervals
plotPP(tr = tr, sr = sr, to = to, so = so, CI = TRUE)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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