"Call:"
"RoBMA(d = d, se = d_se, study_ids = c(1, 1, 2), chains = 1, sample = 1000, "
"    burnin = 500, adapt = 100, thin = 2, parallel = TRUE, autofit = FALSE, "
"    seed = 1)"
""
"Estimates:"
"               mu               tau               rho    omega[0,0.025] omega[0.025,0.05]   omega[0.05,0.5]   omega[0.5,0.95] omega[0.95,0.975] "
"       0.19050404        0.11658296        0.23645076        1.00000000        0.92351272        0.82442143        0.75907887        0.76949107 "
"   omega[0.975,1]               PET             PEESE "
"       0.80201430        0.10785620        0.08835195 "
