"Call:"
"RoBSA(formula = Surv(time = time, event = event) ~ x_cont, data = df, "
"    parallel = TRUE, seed = 3, 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_cont ~ Spike(0)    "
" Post. prob.      0.779                                          "
" Inclusion BF    31.723                                          "
""
"Parameter estimates:"
"           Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.538 0.070 0.405  0.536 0.676     0.00072          0.010 9539 1.000"
""
"                                                                    "
" Model                2                Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)        "
" log(marglik)   -320.25                x_cont ~ Spike(0)            "
" Post. prob.      0.057                   aux ~ Normal(0, 1)[0, Inf]"
" Inclusion BF     0.541                                             "
""
"Parameter estimates:"
"           Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.544 0.071 0.410  0.543 0.687     0.00075          0.011 9013 1.001"
"aux       0.977 0.055 0.872  0.976 1.088     0.00058          0.011 8848 1.000"
""
"                                                                    "
" Model                3                Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)        "
" log(marglik)   -329.97                x_cont ~ 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 0.090 -0.095  0.076 0.262     0.00102          0.011 7822 1.000"
"aux       1.472 0.074  1.335  1.469 1.624     0.00087          0.012 7175 1.001"
""
"                                                                    "
" Model                4                Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)        "
" log(marglik)   -324.44                x_cont ~ Spike(0)            "
" Post. prob.      0.001                   aux ~ Normal(0, 1)[0, Inf]"
" Inclusion BF     0.008                                             "
""
"Parameter estimates:"
"           Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.102 0.083 -0.054  0.101 0.269     0.00090          0.011 8426 1.000"
"aux       1.242 0.072  1.106  1.240 1.389     0.00079          0.011 8259 1.000"
""
"                                                                    "
" Model                5                Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)        "
" log(marglik)   -319.95                x_cont ~ Spike(0)            "
" Post. prob.      0.077                   aux ~ Normal(0, 1)[0, Inf]"
" Inclusion BF     0.753                                             "
""
"Parameter estimates:"
"           Mean    SD   lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.576 0.126 0.340  0.572 0.838     0.00289          0.023 1892 1.003"
"aux       0.976 0.075 0.832  0.974 1.128     0.00172          0.023 1925 1.003"
""
"                                                                 "
" Model                6             Parameter prior distributions"
" Prior prob.      0.100                  intercept ~ Normal(0, 5)"
" log(marglik)   -320.00                     x_cont ~ Normal(0, 1)"
" Post. prob.      0.073                                          "
" Inclusion BF     0.711                                          "
""
"Parameter estimates:"
"           Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD   ESS R-hat"
"intercept 0.541 0.070  0.409  0.540 0.682     0.00070          0.010 10011 1.000"
"x_cont    0.055 0.067 -0.077  0.055 0.185     0.00068          0.010  9757 1.000"
""
"                                                                    "
" Model                7                Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)        "
" log(marglik)   -322.59                x_cont ~ Normal(0, 1)        "
" Post. prob.      0.005                   aux ~ Normal(0, 1)[0, Inf]"
" Inclusion BF     0.050                                             "
""
"Parameter estimates:"
"           Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.548 0.073  0.408  0.547 0.695     0.00076          0.010 9301 1.000"
"x_cont    0.057 0.070 -0.080  0.057 0.193     0.00071          0.010 9679 1.000"
"aux       0.972 0.053  0.870  0.972 1.080     0.00054          0.010 9955 1.000"
""
"                                                                    "
" Model                8                Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)        "
" log(marglik)   -332.09                x_cont ~ 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 0.080 0.092 -0.096  0.078 0.265     0.00102          0.011 8081 1.000"
"x_cont    0.070 0.086 -0.098  0.070 0.236     0.00091          0.011 8856 1.000"
"aux       1.475 0.075  1.338  1.472 1.631     0.00085          0.011 7772 1.000"
""
"                                                                    "
" Model                9                Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)        "
" log(marglik)   -326.51                x_cont ~ 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 0.100 0.084 -0.062  0.100 0.267     0.00089          0.011  8879 1.001"
"x_cont    0.076 0.078 -0.076  0.077 0.230     0.00078          0.010 10001 1.000"
"aux       1.242 0.072  1.105  1.242 1.384     0.00076          0.011  8977 1.000"
""
"                                                                    "
" Model               10                Parameter prior distributions"
" Prior prob.      0.100             intercept ~ Normal(0, 5)        "
" log(marglik)   -322.29                x_cont ~ Normal(0, 1)        "
" Post. prob.      0.007                   aux ~ Normal(0, 1)[0, Inf]"
" Inclusion BF     0.067                                             "
""
"Parameter estimates:"
"           Mean    SD    lCI Median   uCI error(MCMC) error(MCMC)/SD  ESS R-hat"
"intercept 0.582 0.125  0.344  0.581 0.832     0.00282          0.023 1954 1.003"
"x_cont    0.056 0.070 -0.081  0.057 0.193     0.00071          0.010 9625 1.000"
"aux       0.972 0.074  0.835  0.970 1.126     0.00169          0.023 1947 1.002"
