Could anyone show how this could be done in R? The
dlm package seems to be a good start, but I can't really find any good examples to learn from.
Currently I have two timeseries of the closing prices for two stocks. I then do a rolling regression that gives me the corresponding timeseries of the beta between the two stocks.
How would I go about to implement a Kalman filter for this beta?