com.mean: Computes Mean of the COM-Poisson Distribution

In jarad/compoisson: Conway-Maxwell-Poisson Distribution

Description

Computes the mean of the COM-Poisson distribution for given values of the parameters.

Usage

	com.mean(lambda, nu)

Arguments

lambda	value of lambda parameter
nu	value of the nu parameter

Details

Uses com.expectation to compute the first moment of the distribution.

Value

The mean of the distribution.

Author(s)

Jeffrey Dunn

References

Shmueli, G., Minka, T. P., Kadane, J. B., Borle, S. and Boatwright, P., “A useful distribution for fitting discrete data: Revival of the Conway-Maxwell-Poisson distribution,” J. Royal Statist. Soc., v54, pp. 127-142, 2005.

See Also

com.expectation, com.var

Examples

	data(insurance)
	model = com.fit(Lemaire);
	com.mean(model$lambda, model$nu);

jarad/compoisson documentation built on May 18, 2019, 3:45 p.m.