I fit a model with brms in the following way: e <- rnorm(100, 0, 0.1) v <- rnorm(100, 0, 1) data <- tibble(x=v, y=v+e) form <- y ~ s(x) fit <- brm(form, data=data, family=gaussian(), control = list(max_treedepth = 15, adapt_delta=0.999), iter = 9000, warmup=1000, cores = 4) Then summary of the fit…

Interpreting the fit results when a spline term is used

jd_c August 18, 2022, 4:00pm 2

See here and the linked article by Tristan Mahr in the solution.

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