[R] Kalman Smoothing - time-variant parameters (sspir)

2005-12-01 Thread ¨Tariq Khan
Dear R-brains, I'm rather new to state-space models and would benefit from the extra confidence in using the excellent package sspir. In a one-factor model, If I am trying to do a simple regression where I assume the intercept is constant and the 'Beta' is changing, how do I do that? How do i

Re: [R] Kalman Smoothing - time-variant parameters (sspir)

2005-12-01 Thread Claus Dethlefsen / Aalborg Sygehus
Dear Tariq Khan The initial conditions m0 and C0 can be specified according to your needs. If you are a Bayesian (as in WestHarrison 1997), you will use m0 and C0 to express your prior information. If you use a vague prior, you will give a high weight to your observations in the beginning,