convert_Normal_Multinom {kDGLM} | R Documentation |
convert_Normal_Multinom
Description
Calculate the parameters of the log-Normal that best approximates the given Dirichlet distribution. The approximation is the best in the sense that it minimizes the KL divergence from the Dirichlet to the log-Normal
Usage
convert_Normal_Multinom(conj.param, parms = list())
Arguments
conj.param |
list: A vector containing the concentration parameters of the Dirichlet. |
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 Multinomial outcome:
convert_Multinom_Normal()
,
multnom_pred()
,
update_Multinom()
[Package kDGLM version 1.2.0 Index]