instant.a: Instantaneous availability correction factor calculation for...

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

Instantaneous availability correction factor calculation for multiple availability models.

Description

Calculates the probability that an animal is available at an instant, for each of a set of m 2-state Markov model availability parameters passed to it and returns probabilities and their mean.

Usage

instant.a(hmm.pars, Et = NULL)

Arguments

hmm.pars	is a list with 2x2xm Markov model transition matrices (in which state 1 is UNavailable) in element $Pi (where m is number of availability parameter sets).
Et	is a 2xm matrix with expect times Unavailable (row 1) and Available (row 2).

Details

If Et is given, it is used and hmm.pars is ignored.

See Also

mclaren.a, laake.a, richard.a

Examples

Ea=c(10,12);Eu=c(20,22);seEa=c(2,3);seEu=c(4,6);covEt=c(2,3);pm=NULL
hmm.pars=make.hmm.pars.from.Et(Ea,Eu,seEa,seEu,covEt)
instant.a(hmm.pars)
instant.a(NULL,Et=matrix(c(Eu,Ea),ncol=2,byrow=TRUE))
instant.a(NULL,c(Eu[1],Ea[1]))

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