dbinpois

This is the convolution of Poisson and Binomial distributions

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

dbinpois function

<dl><dt>z</dt>
<dd>This is the vector of numerical values</dd>
<dt>n</dt>
<dd>The <code>nrow</code> of capture-recapture data matrix or data frame</dd>
<dt>par</dt>
<dd>This is the vector of parameter values: average from Poisson distribution and probability of success from Binomial distribution</dd></dl>

Arguments

Convolution of Poisson and Binomial for Batch — dbinpois

<dl>

<dt>z</dt>
<dd>This is the vector of numerical values</dd>


<dt>n</dt>
<dd>The <code>nrow</code> of capture-recapture data matrix or data frame</dd>


<dt>par</dt>
<dd>This is the vector of parameter values: average from Poisson distribution and probability of success from Binomial distribution</dd>

</dl>

dbinpois: Convolution of Poisson and Binomial for Batch

Description

Usage

Value

Arguments

Details