The flocker R package enables users to fit flexible occupancy models using the extended lme4 formula syntax provided by R package brms. Also included are functions to format data for occupancy modeling and functions for model post-processing, including posterior predictions, the posterior distribution of the latent true occupancy state, and model comparison. flocker is under active development: development priorities include new model types, better integrated functionality for posterior predictive checking, and full cross-validation.
Compared to existing R packages for fitting occupancy models, flocker is substantially more flexible in the variety of models that can be fit, and contains advanced functionality for model comparison and checking.
Getting started
To get started, check out our tutorial vignette, available here and our introductory paper, available here. For installation instructions, see below.
Installation
Install the latest CRAN release of flocker with
install.packages("flocker")Install the current development version of flocker with
# install.packages("remotes")
remotes::install_github("jsocolar/flocker")flocker requires a working version of either rstan or cmdstan, which are interfaces to Stan, a state-of-the-art the probabilistic programming language. We recommend using cmdstan if possible. To do so, first install R package cmdstanr with
install.packages("cmdstanr", repos = c("https://mc-stan.org/r-packages/", getOption("repos")))You must additionally install cmdstan itself. We strongly recommend using cmdstanr to manage the cmdstan installation:
cmdstanr::install_cmdstan()Both rstan and cmdstan require a working C++ toolchain, which has posed occasional complications for Stan users. See here for rstan focused advice on installing the toolchain, and see here for cmdstan focused advice. If you encounter toolchain issues that you are unable to troubleshoot, ask for help at https://discourse.mc-stan.org/.
Bugs, features, contributions
To request a feature or report a bug (much appreciated!) please open an issue at the GitHub repository. To contribute to flocker (very much appreciated!) have a look at existing open issues, or open a new issue to discuss.
Citing flocker
When using flocker, please cite the companion manuscript: * Socolar, J.B. & Mills, S.C. (2023). “Introducing flocker: an R package for flexible occupancy modeling via brms and Stan.” https://doi.org/10.1101/2023.10.26.564080
Additionally, please consider citing Stan and R package brms.
