I would like to familiarize myself with machine learning (ML) techniques in R. So I have been reading and learning by doing. I thought I’d share my experience for others who’d like to give it a try1.
Everything (including data, slides, codes and video recordings) about the workshop we run on Bayesian capture-recapture inference with hidden Markov models in R and Nimble.
In our weekly group meeting this morning, I introduced R Markdown a great #rstats tool to write reproducible documents (reports, articles, slides, websites) smoothly mixing text, code, figures and equations in html, word or pdf format.
In a recent seminar, S. Gandon (w/ S. Lion and T. Day) used SIR models to illustrate the effect of diff strategies of #SocialDistancing on the #COVID19 epidemic. What better way to learn than to reproduce their results in R?