"Call:"
"RoBMA(y = d, se = d_se, priors_bias = list(prior_weightfunction(\"two-sided\", "
"    list(c(0.1), c(1, 1))), prior_PET(\"normal\", list(0, 1))), "
"    parallel = TRUE, seed = 1)"
""
"Estimates:"
"          mu          tau omega[0,0.1] omega[0.1,1]          PET "
"   0.1689324    0.0984364    1.0000000    0.8861204    0.3826974 "
