JASP Posterior Probabilities Above/Below a Parameter Value
I have run a Bayesian Correlation in JASP.
I would like to know the posterior probability that the correlation is above 0.3.
I know the general manner to figure this out is sum the number of samples > 0.3 and divide by the total samples drawn, but I'm not sure how to get that information after an analysis in JASP.
Any help is appreciated!
Comments
Ah. Well the posterior distribution for the correlation coefficient is analytic (see https://onlinelibrary.wiley.com/doi/epdf/10.1111/stan.12111) but I don't think it is easy in JASP to get that information -- it would be a good feature request for our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). Alternatively, you can code the correlation in the JAGS module (e.g., as implemented in the Lee & Wagenmakers book on cognitive modeling or other resources online), and this ought to allow you to obtain the information you seek.
EJ