p.t: Calculates the probabilitis of the observable capture...
In david-borchers/LCE_paper: Latent Capture History estimation package

Calculates the probabilitis of the three observable capture histories for animals available according to Markov process and allowed to move in and out of searched strip according to Brownian motion.

p.t(
  E1,
  Ec,
  p,
  sigmarate,
  k,
  dmax.t,
  planespd,
  halfw.dist = NULL,
  adj.mvt = FALSE,
  io = TRUE,
  idbn = NULL,
  nts = 200,
  ft.normal = TRUE
)

`E1`	expected time available per dive cycle
`Ec`	expected dive cycle length
`p`	vector of probs that each obs detects available animal in searched strip
`sigmarate`	Brownian movement rate parameter
`k`	time lag between observers
`dmax.t`	maximum distance can move (in plane-seconds)
`planespd`	speed observers move along transect
`halfw.dist`	half-width of searched strip
`adj.mvt`	if TRUE, uses Brownian hitting time PDF to average over in-out TPMs.
`nts`	number of integration points for averaging over in-out TPMs.
`ft.normal`	if TRUE uses normal to approximate Brownian hitting times, else uses exact expression for Brownian hitting times.