convert_Normal_Poisson {kDGLM} | R Documentation |
convert_Normal_Poisson
Description
Calculate the parameters of the log-Normal that best approximates the given Gamma distribution. The approximation is the best in the sense that it minimizes the KL divergence from the Gamma to the log-Normal
Usage
convert_Normal_Poisson(conj.param, parms)
Arguments
conj.param |
list: A vector containing the parameters of the Gamma (alpha,beta). |
parms |
list: A list of extra known parameters of the distribution. Not used in this kernel. |
Value
The parameters of the Normal distribution of the linear predictor.
See Also
Other auxiliary functions for a Poisson outcome:
convert_Poisson_Normal()
,
poisson_pred()
,
update_Poisson()
[Package kDGLM version 1.2.0 Index]