Closed avehtari closed 4 months ago
data_bern <- data.frame(y = c(1, 1, 1, 0, 1, 1, 1, 0, 1, 0)) fit_bern <- brm(y ~ 1, family = bernoulli(), data = data_bern, prior = prior(student_t(7, 0, 1.5), class='Intercept'), seed = SEED, refresh = 0) draws <- as_draws_df(fit_bern)
This works:
powerscale_sensitivity(draws, fit=fit_bern, variable="theta")
This gives an error Error in apply(has_prefix, 1, any) : dim(X) must have a positive length
Error in apply(has_prefix, 1, any) : dim(X) must have a positive length
powerscale_sensitivity(subset_draws(draws, variable="theta"), fit=fit_bern)
This works:
This gives an error
Error in apply(has_prefix, 1, any) : dim(X) must have a positive length