update_Multinom {kDGLM}R Documentation

update_Multinom

Description

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.

Usage

update_Multinom(conj.param, ft, Qt, y, parms = list())

Arguments

conj.param

list: A vector containing the concentration parameters of the Dirichlet.

ft

vector: 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

vector: A vector containing the observations.

parms

list: A list of extra known parameters of the distribution. Not used in this kernel.

Value

The parameters of the posterior distribution.

See Also

Other auxiliary functions for a Multinomial outcome: convert_Multinom_Normal(), convert_Normal_Multinom(), multnom_pred()


[Package kDGLM version 1.2.0 Index]