Retrieve the normalized initial-state arguments saved by hfit().
Arguments
- fit
A result from the current
hfit().
Value
A list with lambda_component0, N0, and Nc0, suitable for passing
to logLik() or hsim() with do.call().
Details
Supplied initial intensity components exclude the baseline mu and are stored
as a matrix. If the argument was
omitted, the selected mean rule is stored as "mean", or the selected zero
state as a matrix. Mean components are recomputed with the restored model's
parameters; the automatic selection is not repeated. This is not a matrix
evaluated at the original starting values.
Older saved fits without an initialization-policy record return a matrix
evaluated under their original initialization rule at the fitted parameters.
Their retained objective supplies any observation context needed by callbacks.
Initial counts are normalized per dimension and include values inferred from
supplied N and Nc paths. With a custom likelihood and no event observations,
the count arguments are kept as supplied. These arguments describe the initial
state of the fitted observation window, not the state after its last event.