EMaximization_HMmdl function

Maximization step of EM algorithm for Hidden Markov model

Maximization step of EM algorithm for Hidden Markov model

This function performs the maximization step of the Expectation Maximization algorithm for Hidden Markov models.

EMaximization_HMmdl(theta, mdl, MSloglik_output, k)

Arguments

  • theta: Vector of model parameters.
  • mdl: List with model attributes.
  • MSloglik_output: List with output from ExpectationM_HMmdl.
  • k: Integer determining the number of regimes.

Returns

List with new maximized parameters.

  • Maintainer: Gabriel Rodriguez Rondon
  • License: GPL (>= 2)
  • Last published: 2025-02-24