batchUnmark2Viterbi | R Documentation |
batchUnmark2Viterbi function provides a wrapper for the batchUnmarkViterbi to compute the popuation abundance
batchUnmark2Viterbi(
par,
data,
Umax,
nBins,
choiceModel = c("model1", "model2", "model3", "model4")
)
par |
Initial values for the parameters to be optimized over. |
data |
A capture-recapture data matrix or data frame. |
Umax |
The maximum number of the unmarked individuals in the population for capture on any occasion. |
nBins |
The number of bin size into which the matrix will be divided. |
choiceModel |
This chooses among different models and allows for model selection |
Negative Log-likelihood value of the likelihood function
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