convert_Normal_Poisson function

convert_Normal_Poisson

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

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.

Returns

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()