The Random Encounter Model (REM) allows researchers to calculate population densities from camera trap data for species which do no exhibit individually-identifiable markings. The method uses parameters derived from captured images, the camera traps themselves, and ecological studies of the focal species. remBoot is the first package to implement REM calculations in R.
Caravaggi A (2017) remBoot: An R package for Random Encounter Modelling. Journal of Open Source Software. 2(10). doi: 10.21105/joss.00176