An introduction to fitting Bayesian models using Stan and R
Stan is a programming language designed to make statistical modeling easier and faster, especially for Bayesian estimation problems. Stan can help you estimate complex models with large numbers of parameters, and can generally do it faster than alternatives like JAGS/BUGS
These are materials from a workshop I taught for UC Santa Barbara’s eco-data-science group to get people familiar with using purrr for their data-wrangling and modeling needs. This post covers
Oceans, Fisheries, Data Science
Dan Ovando is a Senior Quantiative Scientist at the Inter-American Tropical Tuna Comission - Future Imperfect theme ported by Julio Pescador
Learn More