likelihood: Log likelihood cost function for model optimization

In bluegreen-labs/phenor: An R phenology Modelling Framework

Log likelihood cost function for model optimization

Description

The function is aimed to be maximized, to use it with optimizers which minimize cost functions wrap the function as such: 'cost = function(...)abs(likelihood(...))'

Usage

likelihood(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.
## Not run: 
cost_value = likelihood(par, data, model="TTs")

## End(Not run)

bluegreen-labs/phenor documentation built on Sept. 2, 2023, 10:34 a.m.