Bsecr: Spatially explicit capture-recapture (secr) density...

In wiqid: Quick and Dirty Estimates for Wildlife Populations

Spatially explicit capture-recapture (secr) density estimation using MCMC

Description

Functions to estimate density from mark-recapture data using MCMC methods and JAGS.

Usage

Bsecr0(capthist, buffer = 100, start = NULL, nAug = NA, maxSig = 2*buffer,
                    chains=3, draws=1e4, burnin=0, thin=1, adapt=1000,
                    priorOnly=FALSE, parallel=NULL, seed=NULL, ...)

Arguments

capthist	a capthist object as defined in package secr including capture data and detector (trap) layout
buffer	scalar mask buffer radius (default 100 m)
start	an optional object of class secr, ie, output from the secr.fit function in package secr; objects of other classes are silently ignored.
nAug	number of individuals in the augmented population; if NA, a suitable default is chosen based on the object passed to start or a preliminary run of secr.fit.
maxSig	maximum value for the scale parameter of the detection function: the prior is Uniform(0, maxSig).
chains	the number of Markov chains to run.
draws	the total number of values to return. The number of values calculated per chain is adapt + burnin + ceiling(draws / chains) * thin.
burnin	the number of values to discard at the beginning of each chain.
thin	the thinning rate. If set to n > 1, n values are calculated for each value returned.
adapt	the number of iterations to run in the JAGS adaptive phase.
priorOnly	if TRUE, the function produces random draws from the appropriate prior distributions, with a warning.
seed	set a seed for the random number generators.
parallel	if TRUE or NULL and sufficient cores are available, the MCMC chains are run in parallel; if TRUE and insufficient cores are available, a warning is given.
...	other arguments to pass to the function.

Details

Bsecr0 implements an intercept-only model (D ~ 1, g0 ~ 1, sigma ~ 1).

Value

Returns an object of class Bwiqid, data frame with one column for each parameter, ie. D, lam0 and sigma.

There are print, plot, and window methods for Bwiqid.

Author(s)

Mike Meredith

References

Borchers & Efford (2008) Spatially explicit maximum likelihood methods for capture-recapture studies Biometrics 64, 377-385

Royle & Dorazio (2008) Hierarchical Modeling and Inference in Ecology. Academic Press

See Also

The function secr.fit in package secr.

Examples

if(requireNamespace("secr") && requireNamespace("rjags")) {
  # The stoats data set in 'secr'
  data(stoatDNA, package="secr")
  # This takes ca 10 mins on a multicore machine:
  Bout <- Bsecr0(stoatCH, buffer=1000, chains=2) # 2 chains for testing
  summary(Bout)
  plot(Bout)
  # look at diagnostic plots to see if D is constrained by nAug:
  diagPlot(Bout)      # Upper values of D doesn't look constrained.
  plotACs(Bout, 1:20) # Plot the ACs for captured animals
}

wiqid documentation built on Nov. 18, 2022, 1:07 a.m.