dbinpois: Convolution of Poisson and Binomial for Batch

In extBatchMarking: Extended Batch Marking Models

Convolution of Poisson and Binomial for Batch

Description

This is the convolution of Poisson and Binomial distributions

Usage

dbinpois(z, n, par)

Arguments

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

Details

The convolution of Poisson and Binomial distribution helps us to compute the number of individuals that have survived from t-1 to t in the combined model while simultaneously computing the number of individuals recruited into the population at occasion t.

The survival is modeled as Binomial distribution and the recruitment as the Poisson distirubiton

Value

f This is the output of the convolution from the Binomial and Poisson distributions

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