Description Usage Arguments Value
Implementation of Kim (1994) filter, an extension to Kalman filter for dynamic linear models with Markov-switching. Documentation is incomplete, rudimentary and needs to be rechecked!
1  | KimFilter(x0, P0, y, F, A, R, Q, p)
 | 
x0 | 
 Initial condition for state vector  | 
P0 | 
 Initial condition for state variance  | 
y | 
 Data matrix (Txn)  | 
F | 
 System matrix for measurement equation  | 
A | 
 Transition matrix for state equation  | 
R | 
 Error covariance for measurement equation  | 
Q | 
 Error covariance for state equation  | 
p | 
 Transition probability matrix  | 
Filtered states and covariances with associated probability matrices.
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