simhmltm: Tabulate point and interval estimates.

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

Tabulate point and interval estimates.

Description

Combines point estimates from est.hmltm and bootstrap estimates from bs.hmltm to produce a table ready for insertion into a paper. Does not include any strata with no detections.

Simulates line transect survey data in which animal availability is simulated by generating time series of availability data from the hidden Markov model(s) with parameters specified in argument hmm.pars. Currently only for models with no covariates.

Usage

simhmltm(nw, hfun, pars, hmm.pars, survey.pars, print.progress = TRUE)

Arguments

nw	number of animals to simulate.
hfun	detection hazard function name.
pars	detection hazard function parameters.
hmm.pars	availability hidden Markov model parameters (as per est.hmltm).
survey.pars	survey parameters, as for est.hmltm.
print.progress	if TRUE prints progress through simulations.
est	output from est.hmltm.
bs	output from bootsum using the same model that created est.

Details

Simulates (x,y) observations from a population of nw animals using detection hazard specified by hfun & pars, and HMM availability process specified by hmm.pars. Survey parameters are in survey.pars.

Value

Data frame with two elements: $x and $y, being perpendicular and forward distances of detected animals, respectively.

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