"Call:"
"RoBTT(x1 = x1, x2 = x2, prior_delta = prior(\"cauchy\", list(0, "
"    1/sqrt(2)), list(0, Inf)), prior_rho = prior(\"beta\", list(3, "
"    3)), prior_nu = prior(\"exp\", list(1)), prior_delta_null = prior(\"normal\", "
"    list(0, 0.15), list(0, Inf)), likelihood = c(\"normal\", \"t\"), "
"    parallel = FALSE, seed = 1)"
""
"Robust Bayesian t-test"
"Models overview:"
" Model Distribution       Prior delta        Prior rho    Prior nu    Prior prob. log(marglik) Post. prob. Inclusion BF"
"     1       normal Normal(0, 0.15)[0, Inf] Spike(0.5)                      0.125       -24.24       0.147        1.210"
"     2            t Normal(0, 0.15)[0, Inf] Spike(0.5) Exponential(1)       0.125       -24.01       0.185        1.588"
"     3       normal Normal(0, 0.15)[0, Inf] Beta(3, 3)                      0.125       -24.48       0.116        0.915"
"     4            t Normal(0, 0.15)[0, Inf] Beta(3, 3) Exponential(1)       0.125       -24.18       0.156        1.298"
"     5       normal Cauchy(0, 0.71)[0, Inf] Spike(0.5)                      0.125       -24.40       0.126        1.010"
"     6            t Cauchy(0, 0.71)[0, Inf] Spike(0.5) Exponential(1)       0.125       -24.69       0.094        0.727"
"     7       normal Cauchy(0, 0.71)[0, Inf] Beta(3, 3)                      0.125       -24.66       0.097        0.753"
"     8            t Cauchy(0, 0.71)[0, Inf] Beta(3, 3) Exponential(1)       0.125       -24.87       0.078        0.596"
"[0;31mModel (4): There were 1 divergent transitions.[0m"
