poisson.gc: The Poisson Marginal of Class 'marginal.gc'

In gcKrig: Analysis of Geostatistical Count Data using Gaussian Copulas

The Poisson Marginal of Class marginal.gc

Description

The Poisson marginal parameterized in terms of its mean.

By default, this function is used for likelihood inference and spatial prediction in function mlegc and predgc of the package gcKrig. When all marginal parameters are given, the function is used for simulation and computing correlation in a trans-Gaussian random field in function simgc and corrTG.

Usage

poisson.gc(link = "log", lambda = NULL)

Arguments

link	the model link function.
lambda	a non-negative scalar of the mean parameter.

Value

An object of class marginal.gc representing the marginal component.

Author(s)

Zifei Han [e-mail]

See Also

marginal.gc, beta.gc, binomial.gc, gm.gc, gaussian.gc, negbin.gc, weibull.gc, zip.gc

gcKrig documentation built on July 3, 2022, 1:05 a.m.