rgnzp: Density, distribution function, quantile function and random...

In JrEduardo/CountReg: Regression Models for Dispersed Count Data

Description

Formula and etc.

Usage

rgnzp(n, lambda, alpha = 0)

Arguments

n	Number of observations to be generated.
lambda	Vector that represents the mean (expected value) of the distribution (lambda > 0).
alpha	Vector that represents the dispersion parameter of the distribution. Values of alpha > 0 implies in overdispersion while alpha < 0 implies in subdispersion. When alpha = 0, the Generalized Poisson reduces to the Poisson distribution.

Details

The function to generate random numbers is implemented in C++.

Value

rgnzp returns a vector of random generated numbers.

Author(s)

Walmes Zeviani, [e-mail].

Examples

rgnzp(n = 10, lambda = 5, alpha = 0)

JrEduardo/CountReg documentation built on May 7, 2019, 12:04 p.m.