Here I illustrate how to fit GLMMs with the R package brms, and compare to Jags and lme4.
Here I illustrate how to train a CNN with Keras in R to predict from patients' CT scans those who will develop severe illness from Covid.
I have a draft chapter on Bayes stats and MCMC at https://oliviergimenez.github.io/banana-book/crashcourse.html I’d love your feedback about what is confusing and what is missing 😇 #rstats
So, I’m writing a book 🤯 It''’s called “Bayesian analysis of capture-recapture data with hidden Markov models - Theory and case studies in R”.
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.
I use R to retrieve some data from Twitter, do some exploratory data analysis and visualisation and examine a network of followers.
Workshop to come on reproducible science in our lab.
Gathered some code on occupancy, capture-recapture & epidemiological models, social networks, spatial stuff, textual analyses, reproducible science, etc…
Developing, communicating and teaching methods and models for ecology and conservation biology.
Interactive data visualisation of bias in occupancy models w/ flexdashboard.