R

Bayesian analyses made easy: GLMMs in R package brms

Here I illustrate how to fit GLMMs with the R package brms, and compare to Jags and lme4.

Binary image classification using Keras in R: Using CT scans to predict patients with Covid

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.

Draft chapter on Bayes stats and MCMC in R

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

Bayesian analysis of capture-recapture data with hidden Markov models - Theory and case studies in R

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”.

Experimenting with machine learning in R with tidymodels and the Kaggle titanic dataset

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.

Quick and dirty analysis of a Twitter social network

I use R to retrieve some data from Twitter, do some exploratory data analysis and visualisation and examine a network of followers.

Workshop on reproducible science

Workshop to come on reproducible science in our lab.

Some random piece of code

Gathered some code on occupancy, capture-recapture & epidemiological models, social networks, spatial stuff, textual analyses, reproducible science, etc…

Statistical ecology

Developing, communicating and teaching methods and models for ecology and conservation biology.

Interactive visualisation of bias in occupancy models

Interactive data visualisation of bias in occupancy models w/ flexdashboard.