logZ: Calculate the Normalizing Constant in log scale for...
In thomas-fung/mpcmp: Mean-Parametrized Conway-Maxwell Poisson (COM-Poisson) Regression
logZ R Documentation
Calculate the Normalizing Constant in log scale for COM-Poisson distribution
Description
A function to approximate the normalizing constant for COM-Poisson distributions via
truncation. The standard COM-Poisson parametrization is being used here.
Usage
logZ(log_lambda, nu, summax = 100)
Arguments
log_lambda
rate parameter in log scale.
nu
dispersion parameter, straightly positive.
summax
maximum number of terms to be considered in the truncated sum.
Details
As of version 0.2.0 of this package, logZ will supersede Z for calculating
the normalizing constant. logZ utilised a method that can calculate
log(exp(logx) + exp(logy)) in a somewhat numerically stable way.
This function was originally purposed in the cmpreg package of Ribeiro Jr,
Zeviani & Demétrio (2019).
References
Ribeiro Jr, E. E., Zeviani, W. M., Demétrio, C. G. B. (2019) cmpreg:
Reparametrized COM-Poisson Regression Models. R package version 0.0.1.
thomas-fung/mpcmp documentation built on June 13, 2022, 6:20 p.m.
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| logZ | R Documentation |
Calculate the Normalizing Constant in log scale for COM-Poisson distribution
Description
A function to approximate the normalizing constant for COM-Poisson distributions via truncation. The standard COM-Poisson parametrization is being used here.
Usage
logZ(log_lambda, nu, summax = 100)
Arguments
log_lambda |
rate parameter in log scale. |
nu |
dispersion parameter, straightly positive. |
summax |
maximum number of terms to be considered in the truncated sum. |
Details
As of version 0.2.0 of this package, logZ will supersede Z for calculating
the normalizing constant. logZ utilised a method that can calculate
log(exp(logx) + exp(logy)) in a somewhat numerically stable way.
This function was originally purposed in the cmpreg package of Ribeiro Jr,
Zeviani & Demétrio (2019).
References
Ribeiro Jr, E. E., Zeviani, W. M., Demétrio, C. G. B. (2019) cmpreg:
Reparametrized COM-Poisson Regression Models. R package version 0.0.1.
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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