batchUnmarkViterbi: batchUnmarkViterbi function provides the implementation of...

In extBatchMarking: Extended Batch Marking Models

batchUnmarkViterbi function provides the implementation of the Viterbi alogrithm for the unmarked model

Description

batchUnmarkViterbi function provides the implementation of the Viterbi alogrithm for the unmarked model

Usage

batchUnmarkViterbi(phi, p, lambda, gam, Umax, nBins, u)

Arguments

phi	The probability of surviving and remaining in the population between occasions t and t +1, given an individual was alive and in the population at occasion t. This must be a number between 0 and 1.
p	The probability of capture at occasion t. This must be a number between 0 and 1.
lambda	the initial mean abundance (at occasion 1) for the unmarked population.
gam	The recruitment rate into the unmarked population
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.
u	The number of individuals captured at sampling occasion t that were not marked; t = 1,...,T.

Value

Negative Log-likelihood value of the likelihood function

extBatchMarking documentation built on Oct. 5, 2024, 1:08 a.m.