Introduction to nimbleEcology
What is nimble? | Getting help | The concept of using new distributions for ecological model components. | Illustration: A simple occupancy model | MCMC with both versions of the example occupancy model. | Build the model | Simulate data | Configure and build the MCMC | Compile the model and MCMC | Run the MCMC and extract the samples | Do it all for the new version of the model | Use the new version for something different: maximum likelihood or maximum a posteriori estimation. | Support for automatic differentiation with nimbleEcology. | Distributions provided in nimbleEcology | A note on static typing | Capture-recapture (dCJS) | CJS distributions in nimbleEcology | Hidden Markov models (HMMs) and Dynamic hidden Markov models (DHMMs) | HMM and DHMM distributions in nimbleEcology | Occupancy | Occupancy models in nimbleEcology | Dynamic occupancy | Dynamic occupancy models in nimbleEcology | N-mixture | N-mixture models in nimbleEcology