boot.L {cbrATLAS}R Documentation

Bootstraps observed "activation to 1st detection per site" times to get standard errors on estimated p(Li)

Description

To better estimate the variance on the adjusted-for-tag-failure survival estimates, a bootstrap is conducted on both the data used to estimate tag-life and on the observed times the study tags were active. Statistical methods are described in the ATLAS 1.4 manual, Appendix B2.

Usage

boot.L(at.time.matrix, model.in, num.boots = 100)

Arguments

at.time.matrix

Matrix of time from activation to detection at site i

model.in

Output from taglife.fn

num.boots

(default = 100) Number of desired resampling bootstraps to estimate the standard error for each taglife estimate

Value

Returns a list called L.matrix that contains:

L.matrix

means from bootstrapping that is used to correct survival

L2.matrix

matrix of bootstrapped Li w/resampled taglife tags and active times to detection


[Package cbrATLAS version 0.0.1.3 Index]