find_importance_function: find_importance_function
In HMMmlselect: Determine the Number of States in Hidden Markov Models via Marginal Likelihood
Description
Usage
Arguments
Details
Value
References
View source: R/HMMorderselectionfacility.R
Description
Auxiliary function that computes the importance weight used in approximate the normalizing constant.
Usage
1
find_importance_function(x, boolUseMclust)
Arguments
x
The data that the importance weight is computed on.
boolUseMclust
Auxiliary variable. Set to TRUE.
Details
See Manual.pdf in "inst/extdata" folder.
Value
It returns the importance weight used in approximated normalizing constant.
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.
HMMmlselect documentation built on May 3, 2020, 9:05 a.m.
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Description Usage Arguments Details Value References
View source: R/HMMorderselectionfacility.R
Description
Auxiliary function that computes the importance weight used in approximate the normalizing constant.
Usage
1 | find_importance_function(x, boolUseMclust)
|
Arguments
x |
The data that the importance weight is computed on. |
boolUseMclust |
Auxiliary variable. Set to |
Details
See Manual.pdf in "inst/extdata" folder.
Value
It returns the importance weight used in approximated normalizing constant.
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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