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.

Install the latest version of this package by entering the following in R:

`install.packages("distance.sample.size")`

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 |

**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.

inst

inst/CITATION

inst/distance.sample.size.pdf

NAMESPACE

R

R/DS.penalty.R
R/calculate.mean.detection.prob.R
R/detection.prob.R
R/distance.sample.size.R
R/calculate.theta.given.mean.detection.prob.R
MD5

DESCRIPTION

man

man/distance.sample.size.Rd
man/calculate.theta.given.mean.detection.prob.Rd
man/detection.prob.Rd
man/calculate.mean.detection.prob.Rd
man/DS.penalty.Rd
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Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.

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