R

How to assess landscape connectivity with spatial capture-recapture models?

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.

Workshop on quantitative methods for population dynamics in R

πŸ“’πŸ‘‹ 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 πŸ₯³ It's online and free of charge πŸ˜‰ You just need to register via https://t.

VIBASS and Bayesian capture-recapture workshop

Ey! VIBASS 6 is announced online now https://t.co/VS8cLR8ocK πŸ—“οΈ 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.

Introduction on data wrangling with R

πŸ”§πŸš§ Intro on data wrangling w/ R πŸ“¦ dplyr - import data, pipe, pivot, join, filter, count, work w/ columns, dates, char, factors, etc #tidyverse ▢️ https://t.co/Vs2TbYhbBj ◀️ w/ practicals https://t.

Introduction to GIS and mapping in R

πŸ˜‡ I updated the slides of my introduction to #GIS and #mapping in #rstats using the #sf package and 🐻 πŸ—ΊοΈ in the #pyrenees πŸ”οΈ πŸ§‘β€πŸ« Slides: https://t.co/mO4Dg8l1H5 πŸ§‘β€πŸ’» Code: https://t.

Matrix population models: Lecture slides and R codes for a workshop

Happy to share lecture slides & R codes of an earlier version of the workshop πŸ‘‡ we ran back in 2014 🀯 w JD Lebreton & @KoonsLab ➑️ https://t.co/XdcCQ560Pz #RStats For video πŸ“½οΈπŸ“Ί, check out our workshop on pop dynamics https://t.

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.

Introductory workshop on Nimble

πŸ“’πŸ₯³ With @MaudQueroue and @ValentinLauret we gave a short introduction to nimble @R_nimble nimble is a #rstats πŸ“¦ to fit models in the Bayesian framework w/ MCMC, it's also a programming environment for using/coding fns/distns/samplers

New paper on trade-offs between Deep Learning for species id inference on predator-prey co-occurrence

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 πŸ˜‡https://t.co/Tgo6OJs7r0#OpenAccess #ReproducibleResearch #RStats πŸ§΅β¬‡οΈ https://t.

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.