ll_un_normalized_hmm_gm {HMMmlselect} | R Documentation |
ll_un_normalized_hmm_gm
Description
Auxiliary function that computes the unnormalized posterior density of HMM and Gaussian mixture.
Usage
ll_un_normalized_hmm_gm(paras, yobs, bool_hmm, priors)
Arguments
paras |
The parameter for the HMM. |
yobs |
The observed data. |
bool_hmm |
1 if it's HMM. 0 if it's Gaussian mixture. |
priors |
Prior distribution. |
Details
See Manual.pdf in "inst/extdata" folder.
Value
It returns the unnormalized posterior density of HMM and Gaussian mixture.
References
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.
[Package HMMmlselect version 0.1.6 Index]