update_Poisson function

update_Poisson

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)

Arguments

• conj.param: list: A vector containing the parameters of the Gamma (alpha,beta).
• ft: numeric: A vector representing the means from the normal distribution. Not used in the default method.
• Qt: matrix: A matrix representing the covariance matrix of the normal distribution. Not used in the default method.
• y: numeric: A vector containing the observations.
• parms: list: A list of extra known parameters of the distribution. Not used in this kernel.

Returns

The parameters of the posterior distribution.

See Also

Other auxiliary functions for a Poisson outcome: convert_Normal_Poisson(), convert_Poisson_Normal(), poisson_pred()