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Computes an analytical CJS model for a presence/absence matrix.
simpleCJS(input, estimate = NULL, fixed.efficiency = NULL, silent = TRUE)
A list containing:
absolutes A data frame with the absolute number of tags detected and missed,
absolutes
efficiency A vector of calculated array detection efficiencies,
efficiency
survival A matrix of calculated survivals,
survival
lambda A combined detection efficiency * survival estimate for the last array.
lambda
A presence/absence matrix.
An estimate of the last array's efficiency, between 0 and 1.
A vector of fixed efficiency estimates [0, 1]. length(fixed.efficiency) must match ncol(input).
length(fixed.efficiency)
ncol(input)
Logical: Should messages be printed? This argument is mainly intended for function calls running within actel's analyses.
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)
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