fitted.esw1: Calculates esw from model.

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

Calculates esw from model.

Description

Calculates effective strip width from fitted model.

Usage

## S3 method for class 'esw1'
fitted(
  hmmlt,
  obs = 1:dim(hmmlt$xy)[1],
  nx = 100,
  to.x = FALSE,
  all = FALSE,
  W = NULL
)

Arguments

hmmlt	output from fit.hmltm()
obs	observations (row numbers of hmmlt$xy) for which to calculate esw.
nx	number of x values to use to implement Simpson's rule in perp dist dimension.
to.x	If TRUE integrates only to observed x, else integrates to W.
all	If TRUE then returns esw for every observation, else returns only that for first obs if there are no covariates; always returns esw for every observation if there are covariates.
W	limit of perp. dist integration. If NULL, uses survey.pars$W.

Details

Designed to be called by fitted.invp1. Identical to fitted.esw but returns list instead of numerical scalar or vector. This is to allow it to be used in NDest for estimating density and abundance. Calls hmltm.esw to calclate effective stript width (esw) for 1 observer for fitted object hmmlt.

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