Calculate posterior parameter for the Gamma, assuming that the observed values came from a Poisson model from which the rate parameter (lambda) have prior distribution Gamma.
update_Poisson(conj.param, ft, Qt, y, parms)The parameters of the posterior distribution.
list: A vector containing the parameters of the Gamma (alpha,beta).
numeric: A vector representing the means from the normal distribution. Not used in the default method.
matrix: A matrix representing the covariance matrix of the normal distribution. Not used in the default method.
numeric: A vector containing the observations.
list: A list of extra known parameters of the distribution. Not used in this kernel.
Other auxiliary functions for a Poisson outcome:
convert_Normal_Poisson(),
convert_Poisson_Normal(),
poisson_pred()