Calculate posterior parameter for the Dirichlet, assuming that the observed values came from a Multinomial model from which the number of trials is known and the prior distribution for the probabilities of each category have joint distribution Dirichlet.
update_Multinom(conj.param, ft, Qt, y, parms = list())The parameters of the posterior distribution.
list: A vector containing the concentration parameters of the Dirichlet.
vector: 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.
vector: 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 Multinomial outcome:
convert_Multinom_Normal(),
convert_Normal_Multinom(),
multnom_pred()