brms's layout: one specification prints as the parameter it
addresses followed by its density, b_x ~ normal(0, 1), with any
bounds in front as <lower=0>; several print as a table with one row
each, the table as.data.frame() returns, where a row with no density
of its own shows its class row's density as "(vectorized)". An
empty prior prints nothing, as in brms.
Usage
# S3 method for class 'frmtmb_priorlist'
print(x, show_df = NULL, ...)Examples
set_prior("normal(0,1)", coef = "x")
#> b_x ~ normal(0,1)
set_prior("cauchy(0,1)", class = "sd", group = "g")
#> sd_g ~ cauchy(0,1)
set_prior("normal(0, 2)", class = c("b", "sd"))
#> prior class coef group resp dpar nlpar lb ub source
#> normal(0, 2) b <NA> <NA> user
#> normal(0, 2) sd <NA> <NA> user