p.xy: Calculates probability of first observing animal at (x,y).
In david-borchers/hmltm: Line transect estimation with hidden Markov availability models

p.xy	R Documentation

Calculates probability of first observing animal at (x,y).

Just calls p.xy1 >= once, cycling through 3rd index of Pi and 2nd indices of pm and delta.

p.xy(
  x,
  y,
  hfun,
  b,
  pm,
  Pi,
  delta,
  ymax,
  dy,
  theta.f,
  theta.b,
  ally = FALSE,
  cdf = FALSE
)

`x`	perpendicular distance.
`y`	forward distance.
`hfun`	detection hazard function name.
`b`	detection hazard function parameters.
`pm`	state-dependent Bernoulli parameters.
`Pi`	Markov model transition probability matrix.
`delta`	Markov model stationary distribution.
`ymax`	forward distance at or beyond which things are undetectable.
`dy`	distance step in forward distance direction corresponding to the time step size of the Markov model governed by `Pi`.
`theta.f`	REDUNDANT must = 0.
`theta.b`	REDUNDANT must = 90.
`ally`	If TRUE calculates probability of detection at all (i.e., at some y. (Argument `cdf` is redundant in this case).
`cdf`	If TRUE returns 1 -(the cdf at y), which is equal to the probability of detection BY y. This differes from specifying ally=TRUE in that ally=TRUE calculates the cdf from ymax to y=0, whereas cdf=TRUE calculates the cdf from ymax to y.