Calculate posterior parameter for the Inverse-Gamma, assuming that the observed values came from a Gamma model from which the shape parameter (phi) is known and the mean (mu) have prior distribution Inverse-Gamma.
update_Gamma(conj.param, ft, Qt, y, parms)The parameters of the posterior distribution.
list: A vector containing the parameters of the Inverse-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. For this kernel, parms should containing the shape parameter (phi) for the observational gamma model.
Other auxiliary functions for a Gamma outcome with known shape:
convert_Gamma_Normal(),
convert_Normal_Gamma(),
gamma_pred()