avgPersist: Compute average carcass persistence
In tmcd82070/EoAR: Evidence of Absence Regression (EoAR)

Description Usage Arguments Value Author(s) See Also Examples

This computes average carcass persistence during a set of searches, given a cummulative hazard distribution

1	avgPersist(searches, dist = "exponential", shape, scale)

`searches`	A vector containing julian dates of all carcass searches. Only the number of searches and difference between min and max matter. Average search interval is computed and average persistence probability is computed between 0 and average interval. Hence, placement of searches within `min(searches)` and `max(searches)` does not matter.
`dist`	Character string naming the survival distribution to use. Valid values are "exponential" and "weibull".
`shape`	Shape parameter of the survival distribution. If `dist` == "exponential", this parameter is ignored.
`scale`	Scale parameter of the survival distribution. If `dist` == "exponential", this parameter is the mean, which is 1/rate, where rate is the parameter of `pexp` in R.

A single number. The average probability of a carcass surviving from 0 to the average search interval. i.e., average survival under the survival curve from 0 to diff(range(searches))/2.

Trent McDonald

eoar