"Call:"
"RoBMA(d = d, se = d_se, priors_bias = list(prior_weightfunction(\"one-sided\", "
"    list(c(0.1), c(1, 1))), prior_PET(\"normal\", list(0, 1))), "
"    priors_effect_null = NULL, priors_heterogeneity_null = NULL, "
"    priors_bias_null = NULL, parallel = TRUE, seed = 1)"
""
"Estimates:"
"          mu          tau omega[0,0.1] omega[0.1,1]          PET "
"   0.2757507    0.2242619    1.0000000    0.8328657    0.3706990 "
