simpleCJS {actel} | R Documentation |
Computes an analytical CJS model for a presence/absence matrix.
simpleCJS(input, estimate = NULL, fixed.efficiency = NULL, silent = TRUE)
input |
A presence/absence matrix. |
estimate |
An estimate of the last array's efficiency, between 0 and 1. |
fixed.efficiency |
A vector of fixed efficiency estimates [0, 1]. |
silent |
Logical: Should messages be printed? This argument is mainly intended for function calls running within actel's analyses. |
A list containing:
absolutes
A data frame with the absolute number of tags detected and missed,
efficiency
A vector of calculated array detection efficiencies,
survival
A matrix of calculated survivals,
lambda
A combined detection efficiency * survival estimate for the last array.
Perry et al (2012), 'Using mark-recapture models to estimate survival from telemetry data'. url: https://www.researchgate.net/publication/256443823_Using_mark-recapture_models_to_estimate_survival_from_telemetry_data
# prepare a dummy presence/absence matrix
x <- matrix(c(TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, TRUE, FALSE), ncol = 3)
colnames(x) <- c("Release", "Array1", "Array2")
# run CJS
simpleCJS(x)