Here I illustrate how to fit GLMMs with the R package brms, and compare to Jags and lme4.
Gathered some code on occupancy, capture-recapture & epidemiological models, social networks, spatial stuff, textual analyses, reproducible science, etc…
Quick and dirty code to fit a multistate single-season #occupancy model in Jags using a #HMM formulation, in case it's useful https://t.co/vUlrP0jjIU #JAGS #rstats w/ @ArnaudLyet pic.twitter.com/dSr0BlICb6
— Olivier Gimenez 🖖 (@oaggimenez) 13l 2019
Here, I illustrate the possibility to use `JAGS` to simulate data with two examples that might be of interest to population ecologists: first a linear regression, second a Cormack-Jolly-Seber capture-recapture model to estimate animal survival (formulated as a state-space model). The code is available from [GitHub](https://github.com/oliviergimenez/simul_with_jags).
Some time ago, a student of mine got stuck when fitting dynamic occupancy models to real data in Jags because of the computational burden.