"R2ucare: An R #rstats package to perform goodness‐of‐fit tests for capture‐recapture models" in @MethodsEcolEvol https://t.co/ieQohrn3jA 🤓😎 - paper entirely written w/ #rmarkdown thx @stevenvmiller https://t.co/9FapGe3oGV 💯 - replication files ➡️ https://t.
#multievent #capturerecapture workshop - Intro by #RogerPradel 😍📈 Check out the comments for a few relevant papers on the topic @INEE_CNRS @CNRSenLR pic.twitter.com/4nHrXBakgf
— Olivier Gimenez 🍉 (@oaggimenez) 20 mars 2018
New paper 🎉🎉 "Social status mediates the fitness costs of infection with canine distemper virus in Serengeti spotted hyenas" https://t.co/LdWNAWFWum @BritishEcolSoc by L. Marescot and S. Benhaiem #teamboulet #multievent #hmm 😎😊 https://t.
Following my attempts to fit a HMM model to [capture-recapture data with Rcpp](http://localhost:1313/post/multievent_in_rcpp/) and to [occupancy data with ADMB](http://localhost:1313/post/occupancy_in_admb/), a few colleagues suggested TMB as a potential alternative for several reasons (fast, allows for parallel computations, works with R, accomodates spatial stuff, easy implementation of random effects, and probably other reasons that I don't know).
Following my previous post on [using ADMB to fit hidden Markov models](https://oliviergimenez.github.io/post/occupancy_in_admb/), I took some time to learn how to use Rcpp ([Eddelbuettel & Francois 2011](https://www.jstatsoft.org/article/view/v040i08); [Eddelbuettel 2013](http://www.springer.com/us/book/9781461468677)), a package that gives friendly access to the power of C++ and increase the speed of your R programs. Kudos to Dirk Eddelbuettel, Romain Francois and their colleagues, Rcpp is awesome!
I just submitted to Oikos a paper entitled "Individual heterogeneity and capture-recapture models: what, why and how?". A pre-print is available [here](http://biorxiv.org/content/early/2017/03/26/120683). I also provide R codes on GitHub [there](http://bit.ly/2nqWzoZ).
We held our annual 5-day [capture-recapture workshop](https://multievent.sciencesconf.org/) in Montpellier. As always, the attendees had challenging questions and stimulating datasets to analyse! Looking forward to next year.
During the period 2013-2015, the NGO GIS3M led the GDEGeM project in which tons of data (on abundance and distribution among others) were collected on bottlenose dolphins.
Raluca Bancila, who visited us back in 2015, is with us again for a short 2-week visit. We will resume a project we started one year ago on the evaluation of demographic parameters of two related species of spadefoot toads (Pelobates syriacus and P.
The GIS3M held an international workshop in Marseille on the conservation of Bottlenose dolphin conservation and monitoring in the North-Western Mediterranean Sea. This was the opportunity to discuss the results of the GDEGeM project on the same topic.