Root Mean Squared Error cost function for model optimization.
rmse(par, data, model, ...)Arguments
- par
a vector of parameter values, this is functions specific
- data
nested data structure with validation data as returned by format_phenocam() or format_pep725(), or your own dataset adhering to the same data structure.
- model
the model name to be used in optimizing the model
- ...
extra arguments to pass to the function
Value
the RMSE comparing observed and estimated values
Examples
# The cost function returns the rmse between the
# true values and those generated by the model given a
# parameterset par.
if (FALSE) {
cost_value = rmse(par, data, model="TTs")
}