Description Usage Arguments Details Value Author(s) References See Also
Given a set of data, computes the log-likelihood of the data under the COM-Poisson distribution for values of the parameters.
1 | com.loglikelihood(x, lambda, nu)
|
x |
matrix of count data |
lambda |
value of lambda parameter |
nu |
value of nu parameter |
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.
The log-likelihood of the data.
Jeffrey Dunn
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.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.