MYTSBE_Cohort_Fry: Multi-year time stratified Bayesian estimator (cohort summary...

Description Usage Arguments

Description

MYTSBE utilizes hierarchical Bayesian methods to estimate abundances from capture-mark-recapture (CMR) data using a temporally-stratified Lincoln-Petersen estimator. The between-year hierarchical structures allows for annually recurring species characteristics to be incorporated into capture probabilities and abundance estimates.

Summary output is by cohort year.

Peer reviewed publication can be found at ...

Usage

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MYTSBE_Cohort_Fry(data, effort.cor = FALSE, sel.years = currentyear,
  strata.op.min = 1, smolt.parr.date = "07-01",
  parr.presmolt.date = "09-01", species = "", trap.name = "",
  den.plot = FALSE, trace.plot = FALSE, strata.length = s.length,
  burnin = 1e+05, chains = 3, iterations = 4e+05, thin = 100,
  boot = 5000, model.params = c("p", "U", "etaP1", "etaU1", "sigmaU",
  "sigmaP"))

Arguments

data

capture-mark-recapture data frame

effort.cor

expands the number of unmarked fish captured by a sampling effort

sel.years

selected year(s) to compute abundance estimates

strata.op.min

minimum number of years data need to have been collected in a stratum to be included in summary

smolt.parr.date

"MM-DD" date to partition smolt life stage

parr.presmolt.date

"MM-DD" date to partition parr life stage

species

character string used for titles and descriptions of reports

trap.name

character string used for titles and descriptions of reports

den.plot

return density plots of MCMC chains

trace.plot

return trace plots of MCMC chains

strata.length

number of days in strata

burnin

number of initial MCMC chain iterations to be discarded

chains

number of MCMC chains (>1)

iterations

number of MCMC iterations per chain

thin

thin rate for MCMC chains

boot

number of boot strap iterations to calculate yearly and life stage abundance estimates

model.params

parameters to be returned from MCMC simulation


Boldemeyer/MYTSBE documentation built on May 6, 2019, 7:58 a.m.