cdfy.u: Calculate CDF of forward distance.

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

Calculate CDF of forward distance.

Description

Calculates CDF(y, given x)-u for single forward distance y, perpendicular distance x, and u~runif(1,0,1). Currently only for models with no covariates.

Usage

cdfy.u(y, x, hfun, b, pm, Pi, delta, ymax, dy, theta.f, theta.b, u)

Arguments

y	forward distance.
x	perpendicular distance.
hfun	detection hazard function name.
b	likelihood function parameters.
pm	state-dependent Bernoulli parameters.
Pi	Markov model transition probability matrix.
delta	Markov model stationary distribution.
ymax	forward distance by which detection hazard has fallen to zero.
dy	Markov model distance step size.
theta.f	REDUNDANT must = 0.
theta.b	REDUNDANT must = 90.
u	uniform random variable (scalar).

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