KimFilter: Implementation of Kim (1994) filter, an extension to Kalman...

Description Usage Arguments Value

Description

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!

Usage

1
KimFilter(x0, P0, y, F, A, R, Q, p)

Arguments

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

Value

Filtered states and covariances with associated probability matrices.


guilbran/dynfactoR documentation built on May 8, 2019, 1:35 a.m.