negllik.xandy: HMM line transect model likelihood with perpendicular and...

In DistanceDevelopment/hsltm: Line transect estimation with hidden state availability models

Description

Evaluates HMM line transect model likelihood with both perp. and forward distance data.

Usage

negllik.xandy(b, xy, FUN, models = list(y = NULL, x = NULL), pm, Pi,
  delta, theta.f, theta.b, W, ymax, dy, nx = 100, groupfromy = NULL)

Arguments

b	likelihood function parameters.
xy	detections data, including x and y values for each detection, plus any covariates in model).
FUN	detection hazard function name.
models	model specification, as in est.hmltm.
pm	state-dependent Bernoulli parameters.
Pi	Markov model transition probability matrix.
delta	Markov model stationary distribution.
theta.f	REDUNDANT must = 0.
theta.b	REDUNDANT must = 90.
W	perpendicular truncation distance for fitting.
ymax	forward distance by which detection hazard has fallen to zero.
dy	Markov model distance step size.
nx	number of x-values to use in evaluating detection function.
groupfromy	a forward distance (y) below which all y's are grouped into a single interval in the likelihood function (i.e. exact y,s < groupfromy are combined into an interval rather than passed as exact distances).

DistanceDevelopment/hsltm documentation built on June 21, 2019, 2:22 p.m.