"Call:"
"RoBTT(mean1 = mean1, mean2 = mean2, sd1 = sd1, sd2 = sd2, N1 = N1, "
"    N2 = N2, likelihood = \"normal\", parallel = FALSE, seed = 1)"
""
"Robust Bayesian t-test"
"Diagnostics overview:"
" Model Distribution   Prior delta    Prior rho max[error(MCMC)] max[error(MCMC)/SD] min(ESS) max(R-hat)"
"     1       normal        Spike(0) Spike(0.5)          0.01204               0.009    13149      1.000"
"     2       normal        Spike(0) Beta(1, 1)          0.01231               0.010    10607      1.000"
"     3       normal Cauchy(0, 0.71) Spike(0.5)          0.01128               0.008    14491      1.000"
"     4       normal Cauchy(0, 0.71) Beta(1, 1)          0.01162               0.009    12581      1.001"
