occStan: Occupancy models with RStan Active
Occupancy models are used by researchers to estimate the true occupancy of a species and accounts for imperfect detection of organisms in a study. Researchers will visit sampling sites to collect species detection data (e.g., species count). Occupancy models can predict the detection probability (probability of finding a species at a specific time and site) and occupancy (probability a species occurs at a site) of select species. Due to the sample processing methods to detect environmental DNA a third level is added to the occupancy models that typically contain two. This package expands upon EDNAOCCUPANCY package to allow greater freedom in prediction equations as well as using a different numerical method for fitting the model.
R package creation supports cutting edge science
This project aims to create an R package that makes it smoother to run occupancy models. This package does assume the user has experience with R and occupancy modeling but is easier than compiling RStan models on one’s own. Currently, the project includes multiple models including both 2 and 3-level occupancy models.
This project is ongoing.
occStan: Occupancy models with RStan
Occupancy models are used by researchers to estimate the true occupancy of a species and accounts for imperfect detection of organisms in a study. Researchers will visit sampling sites to collect species detection data (e.g., species count). Occupancy models can predict the detection probability (probability of finding a species at a specific time and site) and occupancy (probability a species occurs at a site) of select species. Due to the sample processing methods to detect environmental DNA a third level is added to the occupancy models that typically contain two. This package expands upon EDNAOCCUPANCY package to allow greater freedom in prediction equations as well as using a different numerical method for fitting the model.
R package creation supports cutting edge science
This project aims to create an R package that makes it smoother to run occupancy models. This package does assume the user has experience with R and occupancy modeling but is easier than compiling RStan models on one’s own. Currently, the project includes multiple models including both 2 and 3-level occupancy models.
This project is ongoing.