diffprior: diffprior

In RobbievanAert/puniform: Meta-Analysis Methods Correcting for Publication Bias

diffprior

Description

Function for computing posterior probabilities based on the Snapshot Bayesian Hybrid Meta-Analysis Method or Snapshot Bayesian Meta-Analysis Method (uncorrected) for another than a uniform prior.

Usage

diffprior(prior, res.snap)

Arguments

prior	A vector of length four containing the prior probabilities for no, small, medium, and large true effect size.
res.snap	A data frame with posterior probabilities obtained with the snapshot or uncor.snapshot function.

Details

The function computes posterior probabilities for four true effect sizes (no, small, medium, and large) based on the snapshot or uncor.snapshot function for another than a uniform prior. For more information see van Aert and van Assen (2016).

Value

The diffprior function returns a data frame with posterior probabilities for no (p.0), small (p.sm), medium (p.me), and large (p.la) true effect size.

Author(s)

Robbie C.M. van Aert [e-mail]

References

van Aert, R.C.M. & van Assen, M.A.L.M. (2017). Bayesian evaluation of effect size after replicating an original study. PLoS ONE, 12(4), e0175302. doi:10.1371/journal.pone.0175302

Examples

### Example as presented on page 491 in Maxwell, Lau, and Howard (2015)
res.snap <- snapshot(ri=c(0.243, 0.114), ni=c(80, 172), alpha=.05)

### Prior probabilities with probablity for no effect twice as large as for the other true effects
prior <- c(0.4, 0.2, 0.2, 0.2)

### Compute posterior probabilities based on new prior
diffprior(prior = prior, res.snap = res.snap)

RobbievanAert/puniform documentation built on Sept. 22, 2023, 2:53 a.m.