hmltm.esw: Calculates esw from model.

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

Calculates esw from model.

Description

Calculates effective strip half-width from model.

Usage

hmltm.esw(
  pars,
  hfun,
  models,
  cov,
  survey.pars,
  hmm.pars,
  nx = 100,
  type = "response",
  to.x = FALSE
)

Arguments

pars	starting parameter values, as for est.hmltm.
hfun	detection hazard function name; same as argument FUN of est.hmltm.
models	detection hazard covariate models, as for est.hmltm.
cov	covariate matrix with each row corresponding to an observation. Must contain columns with variables appearing in models, and named accordingly, as well as column of perpendicular distance, named "x". (Perpendicular distances only used if to.x is TRUE.)
survey.pars	survey parameters, as for est.hmltm.
hmm.pars	availability hmm parameters, as for est.hmltm. Must have elements $Et and $Sigma.Et
nx	number of x-values (perpendicular distances) to use in evaluating esw.
type	if "link", parameter vector pars is assumed to be on the link scale, else on the natural scale
to.x	if TRUE integrates only out to cov$x[i] for observation i (else integrates to survey.pars$W).

Details

Returns effective strip half-width (esw) for fitted object hmmlt, integrating using Simpson's rule.

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