boot.L | R Documentation |
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.
boot.L(at.time.matrix, model.in, num.boots = 100)
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 |
Returns a list called L.matrix that contains:
means from bootstrapping that is used to correct survival
matrix of bootstrapped Li w/resampled taglife tags and active times to detection
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.