Thank you for a great explanation on your package. I am currently trying to ‘go Bayesian’ with my meta-analysis but I am struggling with defining my prior distribution for the effect of mue. Simply, I have correlation coefficients as my effect sizes and I would like to set the prior for them (for the oveall effect of mue) as uniform with boundaries (-1, 1). This is how far I got:

brm <- brm(yi | se(sei) ~ 1 + (1|Study_ID), prior = set_prior(“uniform(-1,1)”, lb = -1, ub = 1), data = df, iter = 5000, warmup = 2000, cores = 4).

I received the following warning message:

Error: The following priors do not correspond to any model parameter:

<lower=-1,upper=1> b ~ uniform (-1,1)

Function ‘get_prior’ might be helpful to you.

Could you help me to figure out how to get it to work?

Thank you in advance for all your efforts!