Conditional effects, posterior samples

Hi!,

I am Joaquín, and I’m using the function conditional_effects from the R-package brms. When I get the output, mainly I obtain an estimation of the effect, the standard error, and also the lower and upper bound of the credible interval. Also the values of the covariates which we are conditioning, and the covariate that we are interested in its effect.

        X1     y1              F1   X2            X3           X4            X5     y2          cond

1 4.766338 0.0176737 1 NA 522827.5 4751492 12.01455 0.3193064 1
2 14.803264 0.0176737 1 NA 522827.5 4751492 12.01455 0.3193064 1
3 24.840190 0.0176737 1 NA 522827.5 4751492 12.01455 0.3193064 1
4 34.877115 0.0176737 1 NA 522827.5 4751492 12.01455 0.3193064 1
5 44.914041 0.0176737 1 NA 522827.5 4751492 12.01455 0.3193064 1
6 54.950967 0.0176737 1 NA 522827.5 4751492 12.01455 0.3193064 1
effect1__ estimate__ se__ lower__ upper__
1 4.766338 0.3419906 0.10942691 0.09592544 0.5457953
2 14.803264 0.3452837 0.09600173 0.10158416 0.5357218
3 24.840190 0.3440056 0.08782515 0.09985567 0.5218796
4 34.877115 0.3425344 0.08170933 0.10424567 0.5115925
5 44.914041 0.3400241 0.07887285 0.10963812 0.5050104
6 54.950967 0.3383603 0.07735596 0.11367366 0.4976518

I was wondering if it is possible to obtain the samples of the posterior distribution for each point in place of obtaining just the estimation and credible intervals

Thank you so much for your time,
Best regards,
Joaquín.