optimize.SEIRV: Compute fit value for SEIR models
In HHS/ASPR-flumodelsutil: Flumodels helper utilities

Computes the fit value

optimize.SEIRV(
  bound.fit,
  incidence,
  attackRatesToMatch,
  SEIRModel.optimize,
  parameters.to.fit.names,
  parameters.SEIR.fixed.names,
  symptomaticIncidence = FALSE,
  fractionSymptomatic = 0.5,
  seedWeeksBeforeIncidence,
  weightIncidenceTimeseries = 1,
  weightAttackRates = 1,
  weightOverallAttackRate = 10,
  ...
)

`bound.fit`	Guess for current iteration.
`incidence`	Overall incidence curve to match
`attackRatesToMatch`	Final attack rates (by age group) to match
`SEIRModel.optimize`	SEIRModel function that we should use to simulate outbreak.
`parameters.to.fit.names`	Names of parameters to fit.
`parameters.SEIR.fixed.names`	Names of fixed parameters for SEIR model.
`symptomaticIncidence`	Is the incidence serological or symptomatic. Defaults to false (serological).
`fractionSymptomatic`	The fraction of cases that are symptomatic. Not a parameter to fit. Only used if symptomaticIncidence is set to true. Defaults to 0.5.
`seedWeeksBeforeIncidence`	Days before the start of the supplied incidence curve to seed initial infections.
`weightIncidenceTimeseries`	What relative weight to the penalty function should the incidence timeseries receive? Defaults to 1.
`weightAttackRates`	What relative weight to the penalty function should the age-specific attack rates receive? Defaults to 1.
`weightOverallAttackRate`	What relative weight to the penalty function should the overall attack rate receive? Defaults to 10.