oSCR "open" spatial capture recapture

oSCR stands for "open" spatial capture-recapture. The intent was to provide a an analysis platform for spatial capture-recapture data written completely in the R language so that users can read the code and see exactly what's going on and also make modifications to it relatively easily. A second objective was to implement models for non-Euclidean distance (Royle et al. 2012; Sutherland et al. 2014). Thirdly, we needed a likelihood framework that could handle extremely large data sets. While oSCR is not extremely fast, it has proved to be very robust to handling large data sets.

Royle, J. A., Chandler, R. B., Gazenski, K. D., & Graves, T. A. (2013). Spatial capture-recapture models for jointly estimating population density and landscape connectivity. Ecology, 94(2), 287-294.

Sutherland, C., Fuller, A. K., & Royle, J. A. (2015). Modelling non‐Euclidean movement and landscape connectivity in highly structured ecological networks. Methods in Ecology and Evolution, 6(2), 169-177.