rpoisBCD

Generates random samples from a bivariate Poisson distribution (BPD).

Implementation of bivariate binomial, geometric, and Poisson distributions based on conditional specifications. The package also includes tools for data generation and goodness-of-fit testing for these three distribution families. For methodological details, see Ghosh, Marques, and Chakraborty (2025) <doi:10.1080/03610926.2024.2315294>, Ghosh, Marques, and Chakraborty (2023) <doi:10.1080/03610918.2021.2004419>, and Ghosh, Marques, and Chakraborty (2021) <doi:10.1080/02664763.2020.1793307>.

Mina Norouzirad

Bivariate Distributions via Conditional Specification

Filipe J. Marques

Indranil Ghosh

FCT, I.P. 

rpoisBCD function

<dl><dt>n</dt>
<dd>number of samples to generate</dd>
<dt>lambda1</dt>
<dd>rate parameter for \( X \) that must be positive</dd>
<dt>lambda2</dt>
<dd>rate parameter for \( Y \) that must be positive</dd>
<dt>lambda3</dt>
<dd>dependence parameter that must be (0, 1]</dd>
<dt>seed</dt>
<dd>seed for random number generation (default = 123)</dd></dl>

Arguments

Random Sampling from a Bivariate Poisson Distribution via Conditional Specification — rpoisBCD

<dl>

<dt>n</dt>
<dd>number of samples to generate</dd>


<dt>lambda1</dt>
<dd>rate parameter for \( X \) that must be positive</dd>


<dt>lambda2</dt>
<dd>rate parameter for \( Y \) that must be positive</dd>


<dt>lambda3</dt>
<dd>dependence parameter that must be (0, 1]</dd>


<dt>seed</dt>
<dd>seed for random number generation (default = 123)</dd>

</dl>

rpoisBCD: Random Sampling from a Bivariate Poisson Distribution via Conditional Specification

Description

Usage

Value

Arguments

Examples