Z: Calculate the Normalizing Constant for COM-Poisson...
In mpcmp: Mean-Parametrized Conway-Maxwell Poisson (COM-Poisson) Regression
Description
A function to approximate the normalizing constant for COM-Poisson distributions
via truncation. The standard COM-Poisson parametrization is being used here.
Notice that the sum is hard coded to truncate at 100 so the approximation will be quite
bad if the COM-Poisson has a large rate or mean.
Usage
1
Arguments
lambda
rate parameter, straightly positive
nu
dispersion parameter, straightly positive
log.z
logical; if TRUE, normalising constant Z are returned as
log(Z).
summax
maximum number of terms to be considered in the truncated sum
mpcmp documentation built on Oct. 26, 2020, 9:07 a.m.
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Description
A function to approximate the normalizing constant for COM-Poisson distributions via truncation. The standard COM-Poisson parametrization is being used here. Notice that the sum is hard coded to truncate at 100 so the approximation will be quite bad if the COM-Poisson has a large rate or mean.
Usage
1 |
Arguments
lambda |
rate parameter, straightly positive |
nu |
dispersion parameter, straightly positive |
log.z |
logical; if |
summax |
maximum number of terms to be considered in the truncated sum |
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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