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Default gradient-Log-likelihood Function

fi.Rd

Extracts the gradLogLikelihood values from the simulations attribute of the parMCMC argument, requires:

  • parMCMC has simulations attribute

  • simulations list includes gradLogLikelihood values

Usage

fi(parMapJac = log10ParMapJac)

Arguments

parMCMC

a numeric vector, with attributes for MCMC, specifically smmala

Value

a scalar value: log(likelihood(data|parMCMC))

Details

This function will take the Fisher-Information-matrices claculated by the ode solver in this package, and return the sum of those values over all experiments. The gll-value the simulator returns is calculated with the assumption of a normal distribution on measurement errors.

This function uses the log10ParMapJac(parMCMC) function by default, which assumes that sampling takes place in logarithmic space with base 10.

Like ll and gllf this function does almost no work, it merely sums up the FI values calculated during simulation, but it also performs a transformation of the Fisher Information Matrix, taking the parameter-mapping between the sampling-space and model-parameter-space into account.