hmm_init: Create initial values for the HMM model.
In bayesdfa: Bayesian Dynamic Factor Analysis (DFA) with 'Stan'
hmm_init R Documentation
Create initial values for the HMM model.
Description
Create initial values for the HMM model.
Usage
hmm_init(K, x_t)
Arguments
K
The number of regimes or clusters to fit. Called by rstan::sampling().
x_t
A matrix of values. Called by rstan::sampling().
Value
list of initial values (mu, sigma)
bayesdfa documentation built on Oct. 11, 2023, 5:14 p.m.
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| hmm_init | R Documentation |
Create initial values for the HMM model.
Description
Create initial values for the HMM model.
Usage
hmm_init(K, x_t)
Arguments
K |
The number of regimes or clusters to fit. Called by |
x_t |
A matrix of values. Called by |
Value
list of initial values (mu, sigma)
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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