I have a very simple and small dataset (see attached) for which I want to fit a power law. The model runs through without any errors, everything seems to look fine but the model fit itself. It does not at all fit the data. I think the error has to do with the scales of x and y since for another dataset, the same call works just fine and produces good results.
prior1 <- c(set_prior('normal(0, 5)', nlpar = "a"), set_prior('normal(1, 0.5)', nlpar = "b", lb = 0)) fit_test <- brm( bf( median_rating ~ a * num_saturation100 ^ b , a + b ~ 1, nl = TRUE ), data = df_test, save_all_pars = T, sample_prior = 'yes', warmup = 2000, iter = 7000, cores = 4, control = list(adapt_delta = 0.96, max_treedepth = 15), prior = prior1, ) plot(conditional_effects(fit_test![test_plot|375x292](upload://wBIxzkh8lsFKEz6i8vSlz0tNlsT.jpeg) ), points = TRUE)
- Operating System: macOs Mojave
- brms Version: brms_2.12.0
Thanks in advance for your help!
test_dataset.csv (112 Bytes)