resample.hmmpars: Resample availability HMM.

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

Description

Resamples a hidden Markov model (HMM) data from multiple observed availability time series (one per animal).

Usage

resample.hmmpars(availhmm, adat, animals, seed = NULL, nperow = 10,
  printprog = TRUE)

Arguments

availhmm	list with availability HMM paramters, as for the hmm.pars parameter of est.hmltm.
adat	list of availability data time series. The ith element of the list must be named $ai and must be a vector of 0s and 1s, comprising the ith animal's time series, with 0 corresponding to being unavailable and 1 to being available.
animals	a vector of integers indicating which of the elements of adat are to be resampled (e.g. animals=c(1,3,4) means the time series of animals 1, 3 and 4 only will be used).
seed	random number seed (integer).
nperow	number of iterations printed on one row if printprog=TRUE.
printprog	if TRUE, prints progress through animals as it resamples.

Details

Simulates a new series of availability observations (0s and 1s) using functions dthmm and simulate from library HiddenMarkov, then fits a HMM to these data using function BaumWelch from library HiddenMarkov. Constructs a new hmm.pars object from the fitted HMM parameters.

Value

A list with the same format as the input availhmm

Examples

data(bowhead.hmm.pars)
data(bowhead.adat)
animals=1:8
resamp=resample.hmmpars(bowhead.hmm.pars,bowhead.adat,animals)

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