test_dataset_retentionmort: Generate a test dataset that can be input into the...

In retmort: Estimate User-Based Tagging Mortality and Tag Loss in Mark-Recapture Studies

Generate a test dataset that can be input into the retentionmort() function

Description

Using the example code verbatim, this function will produce a series of outputs that can be directly input into the retentionmort() function.

Usage

test_dataset_retentionmort()

Value

c = One value for the total number of tagging efforts that is 6 or greater.

err = A value (between 1 and 26) that represents the weekly mortality rate and weekly tag loss rate from a preloaded case study listed in the metadata.

n_c1 = A vector of the number of tagged individuals in one of two categorical variables.

nT = A vector of the number of tagged individuals for each tagging effort.

R = A vector of the number of recaptured individuals per effort.

TaL = A vector of the cumulative number of tagged individuals following each effort.

Examples

#Run this verbatim to produce a single mark-recapture dataset
ret_env <- new.env()
data<- test_dataset_retentionmort()
list2env(data, envir = ret_env)

retmort documentation built on April 12, 2025, 1:47 a.m.