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Distance is a simple way of fitting detection functions to distance sampling data for both line and point transects. Adjustment term selection, left and right truncation as well as monotonicity constraints and binning are supported. Abundance and density estimates can also be calculated (via a Horvitz-Thompson-like estimator) if survey area information is provided.

• Miller, D. L., Rexstad, E., Thomas, L., Marshall, L., & Laake, J. L. (2019). Distance Sampling in R. Journal of Statistical Software, 89(1), 1–28. DOI:10.18637/jss.v089.i01

Consult theArticles for case studies of distance sampling analyses.

The easiest way to ensure you have the latest version ofDistance, is to installdevtools:

install.packages("devtools")

then installDistance from Github:

library(devtools)install_github("DistanceDevelopment/Distance")