rodeoCompare: Simulate and compare with observations
In dkneis/knut: Kneis utilities

Description Usage Arguments Value Note Author(s)

Runs a z0-dimensional rodeo model for specific parameter and initial values and returns a list that makes it easy to compare simulated and observed data (e.g. for plotting or calculating the goodness-of-fit).

1	rodeoCompare(inputs, model, obs, extract, t0 = NULL)

`inputs`	Named numeric vector. This holds the values of parameters and/or initial values.
`model`	Object of class `rodeo`.
`obs`	Numeric matrix or data frame with numeric times in the first column and observed data in the remaining column(s).
`extract`	A function that extracts simulated data from the output matrix of `simul`. It should return a matrix of dimensions nt nv* where nt is the number of model output times and nv equals the number of value columns in `obs`, i.e. excluding the time column. Typically, the function selects a specific column (or multiple colums) from the original output matrix of the ODE solver or it computes new column(s) from the original ones (e.g. the sum of two state variables).
`t0`	Time corresponding to the supplied initial values in argument `inputs`. If `NULL`, the element `obs[1,1]` will be used. The value typically needs to be set if the observations are delayed with respect to the start of the simulation period.