Function used to set up a horseshoe prior for population-level effects
in brms. The function does not evaluate its arguments --
it exists purely to help set up the model.
Degrees of freedom of student-t prior of the
local shrinkage parameters. Defaults to 1.
scale_global
Scale of the student-t prior of the global shrinkage
parameter. Defaults to 1.
In linear models, scale_global will internally be
multiplied by the residual standard deviation parameter sigma.
df_global
Degrees of freedom of student-t prior of the
global shrinkage parameter. Defaults to 1.
autoscale
Logical; indicating whether the horseshoe
prior should be scaled using the residual standard deviation
sigma if possible and sensible (defaults to TRUE).
Autoscaling is not applied for auxiliary parameters or
when the model does not contain the parameter sigma.
Value
A character string obtained by match.call() with
additional arguments.
Details
See set_prior for more details
about the horseshoe prior.