m <- insight::download_model("brms_categorical_1_num")
m
#>  Family: categorical 
#>   Links: mu4 = logit; mu5 = logit 
#> Formula: gear ~ mpg 
#>    Data: mtcars (Number of observations: 32) 
#>   Draws: 4 chains, each with iter = 2000; warmup = 1000; thin = 1;
#>          total post-warmup draws = 4000
#> 
#> Regression Coefficients:
#>               Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
#> mu4_Intercept   -11.28      3.56   -19.03    -5.29 1.00     1799     2230
#> mu5_Intercept    -8.88      3.49   -16.56    -2.87 1.00     1640     1883
#> mu4_mpg           0.57      0.18     0.26     0.96 1.00     1625     1987
#> mu5_mpg           0.42      0.18     0.10     0.81 1.00     1500     1695
#> 
#> Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
#> and Tail_ESS are effective sample size measures, and Rhat is the potential
#> scale reduction factor on split chains (at convergence, Rhat = 1).
out <- modelbased::get_marginalmeans(m, by = "mpg = [sd]")
#> Warning in check_dep_version(dep_pkg = "TMB"): package version mismatch: 
#> glmmTMB was built with TMB package version 1.9.15
#> Current TMB package version is 1.9.16
#> Please re-install glmmTMB from source or restore original 'TMB' package (see '?reinstalling' for more information)
out
#> 
#>  Group Estimate   2.5 % 97.5 %
#>      3   0.8982 0.66528  0.988
#>      3   0.3545 0.15055  0.597
#>      3   0.0250 0.00112  0.180
#>      4   0.0368 0.00319  0.182
#>      4   0.4026 0.19001  0.651
#>      4   0.7736 0.50293  0.944
#>      5   0.0496 0.00474  0.231
#>      5   0.2204 0.07426  0.452
#>      5   0.1819 0.03681  0.449
#> 
#> Type:  response
bayestestR::describe_posterior(out)
#> Summary of Posterior Distribution
#> 
#> mpg   | Median |       95% CI |   pd |          ROPE | % in ROPE
#> ----------------------------------------------------------------
#> 14.06 |   0.90 | [0.67, 0.99] | 100% | [-0.10, 0.10] |        0%
#> 20.09 |   0.35 | [0.15, 0.60] | 100% | [-0.10, 0.10] |        0%
#> 26.12 |   0.02 | [0.00, 0.18] | 100% | [-0.10, 0.10] |    91.79%
#> 14.06 |   0.04 | [0.00, 0.18] | 100% | [-0.10, 0.10] |    88.11%
#> 20.09 |   0.40 | [0.19, 0.65] | 100% | [-0.10, 0.10] |        0%
#> 26.12 |   0.77 | [0.50, 0.94] | 100% | [-0.10, 0.10] |        0%
#> 14.06 |   0.05 | [0.00, 0.23] | 100% | [-0.10, 0.10] |    79.66%
#> 20.09 |   0.22 | [0.07, 0.45] | 100% | [-0.10, 0.10] |     3.97%
#> 26.12 |   0.18 | [0.04, 0.45] | 100% | [-0.10, 0.10] |    18.05%