Distance
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.
Distance
For more information and examples of use take a look at this paper published in Journal of Statistical Software in May 2019.
We also maintain a set of example analyses at examples.distancesampling.org.
Distance
The easiest way to ensure you have the latest version of
Distance
, is to install Hadley Wickham’s
devtools
package:
install.packages("devtools")
then install Distance
from github:
library(devtools)
install_github("DistanceDevelopment/Distance")