p.omega.t: Calculates observable capture histories
In david-borchers/LCE_paper: Latent Capture History estimation package

Calculates an observable capture history omega, given an initial state vector,for animals available according to Markov process and allowed to move in and out of searched strip according to Brownian motion.

1	p.omega.t(t, idbn, p1, p2, Qmat, omega, IO = NULL)

`t`	The time(s) bewtween 2 observers passing
`idbn`	The initial state distribution. If no movement assumed (`IO` is NULL), this is (p(up), p(down)); If movement is assumed, it is (p(in & up), p(out & up), p(in & down), p(out & down)).
`p1`	Probability that obs 1 detects animal that is available and in searched strip
`p2`	Probability that obs 2 detects animal that is available and in searched strip
`Qmat`	Transition intensity matrix for up-down Markov process
`IO`	The in-out transition probability matrix. Must either be 2x2 or 2x2xlength(t), with IO[,,i] being the in-out transition probability matrix for time t[i].