Acoustic capture-recapture (ACRE) models estimate animal density from records of when and were individuals were detected. The first spatial capture-recapture (SCR) methods for acoustic data were developed by Efford, Dawson, and Borchers (2009).
The acre package fits SCR models to estimate animal density from acoustic surveys. In particular, these models can incorporate additional data like received signal strengths, times of arrival, estimated distances, estimated bearings, any location or session or detectors related covariates which are informative or correlated about animals' density. Other more general software packages exist for SCR (e.g., the comprehensive secr R package), but they cannot handle all data types listed above.
Models that can be fitted in acre include those described by Efford, Dawson, and Borchers (2009), Borchers et al (2015), and Stevenson et al (2015). The package also implements some unpublished methods that are described in Stevenson (2016), a PhD thesis.
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Borchers, D. L., Stevenson, B. C., Kidney, D., Thomas, L., and Marques, T. A. (2015). A unifying model for capture-recapture and distance sampling surveys of wildlife populations. Journal of the American Statistical Association, 110: 195--204.
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Efford, M. G., Dawson, D. K., and Borchers, D. L. (2009). Population density estimated from locations of individuals on a passive detector array. Ecology, 90: 2676--2682.
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Stevenson, B. C., Borchers, D. L., Altwegg, R., Swift, R. J., Gillespie, D. M., and Measey, G. J. (2015). A general framework for animal density estimation from acoustic detections across a fixed microphone array. Methods in Ecology and Evolution, 6: 38--48.
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Stevenson, B. C. (2016). Methods in spatially explicit capture-recapture (PhD thesis).
Ben Stevenson, ben.stevenson[at]auckland.ac.nz