Attach a data set to a flexmodel
object. Any existing data will be removed.
update_observed(model, data, loss_params = NULL, regenerate_rates = TRUE)
flexmodel
object
observed data frame in long format to
compare with simulated trajectories. must have the following
columns: date
, var
, value
.
TODO
should rates be regenerated to sort out any index misalignment that may be introduced by editing the model?
a flexmodel
object with an observed
element,
which is a list with two elements: (1) data
(the attached data)
and (2) loss
(a data frame describing the additional parameters
that are required to fit the model to data -- these parameters are added
to the params
of the model)