Several functions have been added to help visualize data including resight.matrix which provides for each cohort the number of releases on the diagonal and the number resighted on each occasion in the upper-triangular matrix. naive.survival provides a naive survival estimate at each time for each cohort. The estimate for time i is the number resighted at time i+1 or later divided by the number seen at time i or later. These values should be interpreted cautiously because they are influenced by capture probability in year i but it is useful to identify particularly high or low survival values. Functions Phi.mean and p.mean compute average real parameter values Phi or p across time for a single age or across ages for a single time.
resight.matrix(x) naive.survival(x)
mcmc_mode(x)
matrix of values with cohort and year labels
processed data list - result from process.data in marked or real estimates from fitted model
Jeff Laake