convert_Normal_Multinom function

convert_Normal_Multinom

convert_Normal_Multinom

Calculate the parameters of the log-Normal that best approximates the given Dirichlet distribution. The approximation is the best in the sense that it minimizes the KL divergence from the Dirichlet to the log-Normal

convert_Normal_Multinom(conj.param, parms = list())

Arguments

  • conj.param: list: A vector containing the concentration parameters of the Dirichlet.
  • parms: list: A list of extra known parameters of the distribution. Not used in this kernel.

Returns

The parameters of the Normal distribution of the linear predictor.

See Also

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

  • Maintainer: Silvaneo dos Santos Jr.
  • License: GPL (>= 3)
  • Last published: 2025-03-20