distance.sample.size: Calculates Study Size Required for Distance Sampling

Calculates the study size (either number of detections, or proportion of region that should be covered) to achieve a target precision for the estimated abundance. The calculation allows for the penalty due to unknown detection function, and for overdispersion. The user must specify a guess at the true detection function.

Author
Robert Clark
Date of publication
2016-01-26 07:44:17
Maintainer
Robert Clark <rclark@uow.edu.au>
License
GPL-2 | GPL-3
Version
0.0

View on CRAN

Man pages

calculate.mean.detection.prob
Mean detection probability.
calculate.theta.given.mean.detection.prob
Function for internal use only.
detection.prob
Calculate detection probabilities.
distance.sample.size
Required study size in distance sampling.
DS.penalty
Variance penalty due to unknown detection parameters.

Files in this package

distance.sample.size
distance.sample.size/inst
distance.sample.size/inst/CITATION
distance.sample.size/inst/distance.sample.size.pdf
distance.sample.size/NAMESPACE
distance.sample.size/R
distance.sample.size/R/DS.penalty.R
distance.sample.size/R/calculate.mean.detection.prob.R
distance.sample.size/R/detection.prob.R
distance.sample.size/R/distance.sample.size.R
distance.sample.size/R/calculate.theta.given.mean.detection.prob.R
distance.sample.size/MD5
distance.sample.size/DESCRIPTION
distance.sample.size/man
distance.sample.size/man/distance.sample.size.Rd
distance.sample.size/man/calculate.theta.given.mean.detection.prob.Rd
distance.sample.size/man/detection.prob.Rd
distance.sample.size/man/calculate.mean.detection.prob.Rd
distance.sample.size/man/DS.penalty.Rd