cjs.taglife.corr: Estimates the length of time a tag is active (tag activation...

In Columbia-Basin-Research-West/cbrATLAS: Active Tag Life Adjusted Survival Modeling

Estimates the length of time a tag is active (tag activation to first detection time)

Description

This function uses the length of time a tag has been active to estimate the probability it would fail when detected. The average P(failure) is estimated at each site. The estimated survival is divided by the mean P(failure) at that site to adjust for the predicted tag failure in the study (Townsend et al. 2006).

Usage

cjs.taglife.corr(
  activetime.matrix,
  site.names = NULL,
  num.period = num.period,
  taglife.fit = taglife.fit,
  num.boots = 0,
  cjs.est = NULL
)

Arguments

activetime.matrix	Matrix of time elapsed after tag activation to first detection at site. One column per site
site.names	Vector of site designations
num.period	Number of detection sites
taglife.fit	Results from fitting tag-life study tags: Model name, estimated parameters, mean time to fail
num.boots	Number of Bootstrap interations for variance on estimated P(Li) for each site. Uses 0 for initial fittings
cjs.est	2-column Matrix with unadjusted Cormack-Jolly-Seber estimates and standard errors

Value

returns a list with:

model.out

name of model used to fit tag-life curve

L

vector of probabilty tag active to each detection site

L.se

vector of standard errors on each estimated L

adj.Si.se

vector of estimated standared errors for adjusted survival estimates

Columbia-Basin-Research-West/cbrATLAS documentation built on April 1, 2022, 1:52 p.m.