default ABC acceptance probability function for one experiment

if each experiment corresponds to one simulation and is fully quanitified by itself, then calculating the overall distance between data and experiment can be done one by one. This function describes the default way a simulation is compared to data.

Usage

defaultAcceptance(funcSim, dataVAL, dataERR = max(dataVAL))

Arguments

funcSim

a matrix, contains model solution (output values), columns of output vectors

dataVAL

a data.frame of experimental data

dataERR

a data.frame of measurement errors, if available, defaults to the maximum data value.

Details

If the data is more complex, and two or more simulations are needed to calculate one distance value then the objective-Function needs to be entirely user-supplied. This is the case with experiments that have a "control" -- this is needed when the measurement is in arbitrary units and only makes sense comparatively to a secondary (control) scenario.

This function will be used if none is provided by the user.

The funcSim values need to be supplied as a matrix of size N×T with N the length of the model's output vectors and T the amount of measurement times (this is how the rgsl package returns the simulation results).