Error in assigning priors in brms

Modeling
,
1

I am an avid brms user but I recently updated my R, Rstudio, and packages and now I keep getting errors. The error I keep receiving says that my priors are unused:

Error in .fun(data = .x1, seed = .x2, init = .x3, priors = .x4, iter_sampling = .x5, :
unused argument (priors = .x4)

Here is how I am specifying the priors:

  prior(normal(0,100), class = Intercept),
  prior(normal(0,100), class = b))

Here is my model:

  brm(perc_cor ~ Parameter * noise + (1|Subject_ID),
      data = data_totals, 
      family = gaussian(),
      priors = priors,
      chains = 4, cores = 4, 
      backend = "cmdstanr")

When I remove the priors argument from the model, the model runs fine. I can’t figure how what I’m doing wrong in assigning the priors. Any help is greatly appreciated!

2

The brms argument is prior not priors (i.e., no s)

3 Likes
3

Oh, that was an easy fix!