"Call:"
"RoBTT(x1 = x1, x2 = x2, parallel = FALSE, seed = 1)"
""
"Robust Bayesian t-test"
"Diagnostics overview:"
" Model Distribution   Prior delta    Prior rho    Prior nu    max[error(MCMC)] max[error(MCMC)/SD] min(ESS) max(R-hat)"
"     1       normal        Spike(0) Spike(0.5)                         0.09195               0.011     8139      1.000"
"     2            t        Spike(0) Spike(0.5) Exponential(1)         30.00721               0.020     2437      1.002"
"     3       normal        Spike(0) Beta(1, 1)                         0.08511               0.010    10660      1.000"
"     4            t        Spike(0) Beta(1, 1) Exponential(1)          9.49006               0.015     4518      1.000"
"     5       normal Cauchy(0, 0.71) Spike(0.5)                         0.08356               0.010     9847      1.000"
"     6            t Cauchy(0, 0.71) Spike(0.5) Exponential(1)          0.70003               0.015     4669      1.001"
"     7       normal Cauchy(0, 0.71) Beta(1, 1)                         0.06804               0.009    11917      1.000"
"     8            t Cauchy(0, 0.71) Beta(1, 1) Exponential(1)          0.87340               0.015     4301      1.000"
"[0;31mModel (7): There were 1 divergent transitions.[0m"
