Auxiliary function that simulates mixture normal/t-distribution. Used when approximating marginal likelihood.
sample_mixture(N, list_paras, df_t)The number of sample to be drawn.
Parameter as a dataset, including $p for probability weight, $Mu for the mean of each mixture component, and $Sigma for the standard deviation of each mixture component.
Degree of freedom of the t-distribution. If df_t==0, then it is treated as a normal distribution.
It returns the sample of the simulated mixture normal/student-t distribution.
See Manual.pdf in "inst/extdata" folder.
Yang Chen, Cheng-Der Fuh, Chu-Lan Kao, and Samuel Kou (2019+) "Determine the number of states in hidden markov models via marginal likelihood." Submitted.