mclaren.a: McLaren's availability correction factor calculation for...

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

McLaren's availability correction factor calculation for multiple availability models.

Description

Calculates McLaren's availability correction factor, for each of a set of m 2-state Markov model availability parameters passed to it and returns these and their mean.

Usage

mclaren.a(hmm.pars, ymax, spd = 1)

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).
ymax	is max forward distance things can be seen at (or max forward time). Must be scalar.
spd	is observer speed; omit if ymax is max forward TIME.

References

McLaren, I.A. 1961. Methods of determining the numbers and availability of ringed seals in the eastern Canadian Arctic. Arctic 14:162 – 175.

See Also

instant.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)
hmm.pars=make.hmm.pars.from.Et(Ea,Eu,seEa,seEu,covEt)
mclaren.a(hmm.pars,ymax=10,spd=4)
mclaren.a(hmm.pars,ymax=100,spd=4) # can be greater than 1 (!)

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