Visualizing conditional effects plot for e.g. zi parameter

Interfaces brms
1

Conditional_effects() in brms by default visualizes the mu parameters.
So for example in a zero-inflated beta regression:

TaskSpontaneous -0.77 0.02 -0.81 -0.72 1.00 1608 2381
TaskTask -0.68 0.02 -0.72 -0.63 1.00 1611 2501
phi_TaskSpontaneous 1.56 0.04 1.48 1.65 1.00 1702 2474
phi_TaskTask 1.48 0.04 1.41 1.56 1.00 1631 2249
zi_TaskSpontaneous -0.23 0.06 -0.35 -0.12 1.00 1494 2318
zi_TaskTask -0.09 0.05 -0.19 0.01 1.00 2013 2303

It will only represent the Task… parameters.
Is there a way to visualize the zi_Task… parameters with conditional_effects(), without extracting posteriors on my own (not that daunting, but not so elegant)?

2

By default, conditional_effects visualizes the mean of the response distribution, whatever that is for the specific distribution. To get certain parameters, use argument dpar.

1 Like
3

thanks!