gamma_gt

Transition State Probability
'gamma_gt' computes the transition probability matrix

A system for batch-marking data analysis to estimate survival probabilities, capture probabilities, and enumerate the population abundance for both marked and unmarked individuals. The estimation of only marked individuals can be achieved through the batchMarkOptim() function. Similarly, the combined marked and unmarked can be achieved through the batchMarkUnmarkOptim() function. The algorithm was also implemented for the hidden Markov model encapsulated in batchMarkUnmarkOptim() to estimate the abundance of both marked and unmarked individuals in the population. The package is based on the paper: "Hidden Markov Models for Extended Batch Data" of Cowen et al. (2017) <doi:10.1111/biom.12701>.

Kehinde Olobatuyi

extBatchMarking

Extended Batch Marking Models

Simon Johns

Matthew RP Parker

Steve Hof

Laura LE Cowen

gamma_gt function

<dl><dt>R</dt>
<dd>integer number of marked individuals released per occasion</dd>
<dt>phi</dt>
<dd>double number. Survival probability of individuals</dd>
<dt>cores</dt>
<dd>The number of cores on your machine.</dd></dl>

Arguments

Transition State Probability
'gamma_gt' computes the transition probability matrix — gamma_gt

<dl>

<dt>R</dt>
<dd>integer number of marked individuals released per occasion</dd>


<dt>phi</dt>
<dd>double number. Survival probability of individuals</dd>


<dt>cores</dt>
<dd>The number of cores on your machine.</dd>

</dl>

gamma_gt: Transition State Probability 'gamma_gt' computes the transition probability matrix

Description

Value

Arguments