Calculate posterior parameter for the Normal, assuming that the observed values came from a Normal model from which the covariance is known and the prior distribution for the mean vector have Normal distribution
update_Normal(conj.param, ft, Qt, y, parms)The parameters of the posterior distribution.
list: A vector containing the concentration parameters of the Normal.
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 covariance matrix parameter (V) for the observational Normal model.
Other auxiliary functions for a Normal outcome:
convert_multi_NG_Normal(),
multi_normal_gamma_pred(),
normal_pred()