R

How to assess landscape connectivity with spatial capture-recapture models? @oSCR_package to the rescue ! Some code to reproduce results from a great paper by Dana Morin @Fuller_Lab @andyroyle_pwrc & @chrissuthy Post: https://t.co/FVwBzMnqA9 Code: https://t.co/FMMyF0s22x pic.twitter.com/QUlOjlGnPf — Olivier Gimenez 🖖🦦 (@oaggimenez) March 27, 2023

📢👋 Together with @SarahCubaynes & @abesnardEPHE we will give a 2-day introductory workshop June 1-2 on quantitative methods for population dynamics in R #rstats Join us 🥳 It's online and free of charge 😉 You just need to register via https://t.co/otguiSMTY0 Please RT 😇 pic.twitter.com/6ghDHE92SJ

Ey! VIBASS 6 is announced online now https://t.co/VS8cLR8ocK 🗓️ July 10-14 2023 🚩Faculty of Mathematics @FMatemaUV_EG, Valencia, Spain Be aware that the registration would start really really soon and we just have few spots. Don't miss it. pic.twitter.com/5M61dbuxuF

🔧🚧 Intro on data wrangling w/ R 📦 dplyr - import data, pipe, pivot, join, filter, count, work w/ columns, dates, char, factors, etc #tidyverse ▶️ https://t.co/Vs2TbYhbBj ◀️ w/ practicals https://t.co/9ktKPp9wfW & solutions https://t.co/YPwibL2w31 Cartoons @allison_horst 💜 pic.twitter.com/ZMSfxYFKWq — Olivier Gimenez 🖖 (@oaggimenez) May 17, 2022

😇 I updated the slides of my introduction to #GIS and #mapping in #rstats using the #sf package and 🐻 🗺️ in the #pyrenees 🏔️ 🧑‍🏫 Slides: https://t.co/mO4Dg8l1H5 🧑‍💻 Code: https://t.co/X8fDKcrbFR#rspatial #spatial #ggplot2 #tidyverse #dataviz pic.twitter.com/mSsL6Qt7IS — Olivier Gimenez 🖖 (@oaggimenez) May 12, 2022

Happy to share lecture slides & R codes of an earlier version of the workshop 👇 we ran back in 2014 🤯 w JD Lebreton & @KoonsLab ➡️ https://t.co/XdcCQ560Pz #RStats For video 📽️📺, check out our workshop on pop dynamics https://t.co/jlTE4iF5zk w @SarahCubaynes & @abesnardEPHE https://t.co/JFgS1GOU0V

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

📢🥳 With @MaudQueroue and @ValentinLauret we gave a short introduction to nimble @R_nimble nimble is a #rstats 📦 to fit models in the Bayesian framework w/ MCMC, it's also a programming environment for using/coding fns/distns/samplers ➡️ Check out https://t.co/MuUjGc4U8i pic.twitter.com/RBtu07v874

A pleasure to work w/ #ComputoJournal @Computo85445972 for our paper on trade-offs bw #DeepLearning for species id & inference on predator-prey co-occurrence, which comes w/ a reproducible R workflow 😇https://t.co/Tgo6OJs7r0#OpenAccess #ReproducibleResearch #RStats 🧵⬇️ https://t.co/x2w73ezAcs — Olivier Gimenez 🖖 (@oaggimenez) April 6, 2022

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.