com.loglikelihood: Computes Log-Likelihood of COM-Poisson
Description
Given a set of data, computes the log-likelihood of the data under the
COM-Poisson distribution for values of the parameters.
Usage
com.loglikelihood(x, lambda, nu)
Arguments
x
matrix of count data
lambda
value of lambda parameter
nu
value of nu parameter
Value
The log-likelihood of the data.
Details
The argument x should consist of a matrix where the first column is the level and the second column is the count for the corresponding level.
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.