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A general description is here.
The ‘fast’ argument of ‘KalmanLike()’, ‘KalmanRun()’ and ‘KalmanForecast’ has been replaced to ‘update’, which instead of updating ‘mod’ in place, optionally returns the updated model in an attribute ‘"mod"’ of the return value.
‘KalmanForecast(fast = FALSE)’ is now the default, and the help contains an example of how ‘fast = TRUE’ can be used in this version.
‘KalmanForecast(fast = FALSE)’ reported a stack imbalance.
The count of observations used by ‘KalmanRun’ did not take missing values into account.