calc.derived: Calculates a bunch of derived statistics from model.

In david-borchers/hmltm: Line transect estimation with hidden Markov availability models

Calculates a bunch of derived statistics from model.

Description

Calculates a one of a variety of derived statistics from model (see below).

Usage

calc.derived(stat, hmmlt, obs = 1:dim(hmmlt$hmltm.fit$xy)[1])

Arguments

stat	the statistic name (character variable).
hmmlt	the model (as ouput by est.hmltm.
obs	indices of rows of hmmlt$xy (i.e. which observations) to use in calculating the statistics.

Details

The following are the options for argument stat:

esw:

effective strip width estimate.

invesw:

inverse effective strip width estimate.

p0:

estimated probability of detection at perpendicular distance zero.

p:

estimated mean probability of detection.

invp:

estimated inverse mean probability of detection.

david-borchers/hmltm documentation built on Oct. 29, 2023, 9:07 p.m.