check_para_validity: check_para_validity
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 checks whether the parameter set is suitable for HMM/Gaussian mixture.
Usage
1
check_para_validity(parameters_in_matrix_form, bool_hmm)
Arguments
parameters_in_matrix_form
The parameters to be checked.
bool_hmm
1 for HMM. 0 for Gaussian mixture.
Details
See Manual.pdf in "inst/extdata" folder.
Value
It returns the logical value of whether the parameter set is suitable for HMM/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.
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 checks whether the parameter set is suitable for HMM/Gaussian mixture.
Usage
1 | check_para_validity(parameters_in_matrix_form, bool_hmm)
|
Arguments
parameters_in_matrix_form |
The parameters to be checked. |
bool_hmm |
1 for HMM. 0 for Gaussian mixture. |
Details
See Manual.pdf in "inst/extdata" folder.
Value
It returns the logical value of whether the parameter set is suitable for HMM/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.
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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