Code, software & reproducible research
We use open computational workflows to make ecological models and analyses easier to inspect, reuse, and extend.
NIMBLE for ecological models
The lab has worked with the NIMBLE development team on hierarchical ecological models, especially occupancy models, MCMC efficiency, model assessment, and approaches to latent or unseen ecological states. NIMBLE lets users build statistical models in R while compiling model calculations and algorithms to C++.
Hierarchical ecological modeling and computational methods.
Reproducible projects
Forest management & parasites
Code accompanying work on how intensively managed forest characteristics shape infectious parasite prevalence through bee host communities.
Pyrodiversity & resistance
Reproducible analyses for work on interaction flexibility, fire history, and pollinator population resistance.
Hierarchical models with NIMBLE
Code and examples for customizing MCMC algorithms for ecological hierarchical models.
Ecological network assembly
Simulation and analysis code for network assembly and coevolution projects.