"Call:"
"RoBSA(formula = Surv(time = time, event = event) ~ x_bin, data = df, "
"    parallel = TRUE, seed = 4, rescale_data = TRUE)"
""
"Robust Bayesian meta-analysis                                                                            "
" Model                1                        Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)                "
" log(marglik)   -317.64                 x_bin ~ treatment contrast: Spike(0)"
" Post. prob.      0.689                                                     "
" Inclusion BF    19.973                                                     "
""
"Parameter estimates:"
"           Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.538 0.070 0.405  0.538 0.676     0.00076          0.011 8550 1.000"
""
"                                                                            "
" Model                2                        Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)                "
" log(marglik)   -320.25                 x_bin ~ treatment contrast: Spike(0)"
" Post. prob.      0.050                   aux ~ Normal(0, 1)[0, Inf]        "
" Inclusion BF     0.476                                                     "
""
"Parameter estimates:"
"           Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.545 0.073 0.404  0.544 0.692     0.00076          0.010 9184 1.000"
"aux       0.976 0.054 0.873  0.976 1.084     0.00057          0.011 8993 1.000"
""
"                                                                            "
" Model                3                        Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)                "
" log(marglik)   -329.97                 x_bin ~ treatment contrast: Spike(0)"
" Post. prob.      0.000                   aux ~ Normal(0, 1)[0, Inf]        "
" Inclusion BF     0.000                                                     "
""
"Parameter estimates:"
"           Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.078 0.092 -0.097  0.076 0.260     0.00103          0.011 7895 1.000"
"aux       1.472 0.074  1.336  1.469 1.623     0.00083          0.011 7831 1.000"
""
"                                                                            "
" Model                4                        Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)                "
" log(marglik)   -324.44                 x_bin ~ treatment contrast: Spike(0)"
" Post. prob.      0.001                   aux ~ Normal(0, 1)[0, Inf]        "
" Inclusion BF     0.007                                                     "
""
"Parameter estimates:"
"           Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.102 0.083 -0.056  0.101 0.265     0.00089          0.011 8656 1.000"
"aux       1.241 0.072  1.106  1.241 1.385     0.00076          0.011 9004 1.001"
""
"                                                                            "
" Model                5                        Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)                "
" log(marglik)   -319.95                 x_bin ~ treatment contrast: Spike(0)"
" Post. prob.      0.068                   aux ~ Normal(0, 1)[0, Inf]        "
" Inclusion BF     0.661                                                     "
""
"Parameter estimates:"
"           Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.574 0.127 0.327  0.571 0.826     0.00302          0.024 1783 1.000"
"aux       0.977 0.077 0.837  0.974 1.135     0.00186          0.024 1725 1.001"
""
"                                                                                "
" Model                6                            Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)                    "
" log(marglik)   -319.08                 x_bin ~ treatment contrast: Normal(0, 1)"
" Post. prob.      0.163                                                         "
" Inclusion BF     1.749                                                         "
""
"Parameter estimates:"
"            Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept  0.614 0.104  0.414  0.611 0.821     0.00202          0.019 2684 1.000"
"x_bin[1]  -0.142 0.143 -0.422 -0.140 0.133     0.00268          0.019 2843 1.000"
""
"                                                                                "
" Model                7                            Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)                    "
" log(marglik)   -321.69                 x_bin ~ treatment contrast: Normal(0, 1)"
" Post. prob.      0.012                   aux ~ Normal(0, 1)[0, Inf]            "
" Inclusion BF     0.109                                                         "
""
"Parameter estimates:"
"            Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept  0.624 0.106  0.422  0.622 0.837     0.00200          0.019 2804 1.001"
"x_bin[1]  -0.147 0.144 -0.430 -0.147 0.135     0.00268          0.019 2874 1.001"
"aux        0.975 0.054  0.874  0.975 1.082     0.00055          0.010 9339 1.000"
""
"                                                                                "
" Model                8                            Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)                    "
" log(marglik)   -331.37                 x_bin ~ treatment contrast: Normal(0, 1)"
" Post. prob.      0.000                   aux ~ Normal(0, 1)[0, Inf]            "
" Inclusion BF     0.000                                                         "
""
"Parameter estimates:"
"            Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept  0.156 0.129 -0.091  0.154 0.411     0.00239          0.019 2903 1.000"
"x_bin[1]  -0.148 0.173 -0.487 -0.148 0.195     0.00316          0.018 2977 1.000"
"aux        1.473 0.074  1.338  1.470 1.626     0.00084          0.011 7761 1.000"
""
"                                                                                "
" Model                9                            Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)                    "
" log(marglik)   -325.97                 x_bin ~ treatment contrast: Normal(0, 1)"
" Post. prob.      0.000                   aux ~ Normal(0, 1)[0, Inf]            "
" Inclusion BF     0.001                                                         "
""
"Parameter estimates:"
"            Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept  0.167 0.122 -0.070  0.165 0.409     0.00225          0.018 2932 1.000"
"x_bin[1]  -0.123 0.162 -0.440 -0.122 0.191     0.00294          0.018 3016 1.000"
"aux        1.239 0.071  1.103  1.238 1.380     0.00076          0.011 8762 1.000"
""
"                                                                                "
" Model               10                            Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)                    "
" log(marglik)   -321.38                 x_bin ~ treatment contrast: Normal(0, 1)"
" Post. prob.      0.016                   aux ~ Normal(0, 1)[0, Inf]            "
" Inclusion BF     0.149                                                         "
""
"Parameter estimates:"
"            Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept  0.658 0.148  0.385  0.653 0.960     0.00391          0.026 1440 1.003"
"x_bin[1]  -0.147 0.145 -0.430 -0.147 0.135     0.00260          0.018 3103 1.002"
"aux        0.973 0.076  0.831  0.971 1.129     0.00171          0.023 1974 1.002"
