com.loglikelihood: Computes Log-Likelihood of COM-Poisson
In compoisson: Conway-Maxwell-Poisson Distribution
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Description
Given a set of data, computes the log-likelihood of the data under the
COM-Poisson distribution for values of the parameters.
Usage
1
com.loglikelihood(x, lambda, nu)
Arguments
x
matrix of count data
lambda
value of lambda parameter
nu
value of nu parameter
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.
Value
The log-likelihood of the data.
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
compoisson documentation built on May 1, 2019, 11:17 p.m.
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Description Usage Arguments Details Value Author(s) References See Also
Description
Given a set of data, computes the log-likelihood of the data under the COM-Poisson distribution for values of the parameters.
Usage
1 | com.loglikelihood(x, lambda, nu)
|
Arguments
x |
matrix of count data |
lambda |
value of lambda parameter |
nu |
value of nu parameter |
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.
Value
The log-likelihood of the data.
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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