
Erik J. Ringen
201 posts

Erik J. Ringen
@err_ring
Data Scientist (Applied Statistician) at the University of Zurich PhD in Bio-Anth. Behavioral ecology, cultural evolution, statistics & causal inference.







Nice solution from @babeheim: extract_samples <- function(cmdstanrfit) { cmdstanrfit$output_files() |> rstan::read_stan_csv() |> rethinking::extract.samples() }

StanCon is still happening in September. Have you considered the probabilistic dividends? Link in quoted. The keynote speakers will cover everything from disease to drugs to sharks. Bayesian Sharks (doo-doo, doo-doo, doo-doo)






Assume I am an instructor for an intro to stats. Syllabus includes: Intro to probability, summary statistics, culminating in the t test and other simple tests of hypotheses. Aside from the mechanics, what should students leave knowing about statistics?










