calib_model() runs the model and compares it against observations provided.
It can run in parallel by using multiple cores availlable on your computer
to run quicker.
Usage
calib_aeme(
aeme,
model,
param,
vars_sim = "HYD_temp",
FUN_list,
weights,
path = ".",
model_controls = NULL,
ctrl = NULL,
param_df = NULL
)Arguments
- aeme
aeme; object.
- model
vector; of models to be used. Can be `dy_cd`, `glm_aed`, `gotm_wet`.
- param
dataframe; of parameters read in from a csv file. Requires the columns c("model", "file", "name", "value", "min", "max", "log")
- vars_sim
vector; of variables names to be used in the calculation of model fit.
- FUN_list
list of functions; named according to the variables in the
vars_sim. Funtions are of the formfunction(df)which will be used to calculate model fit. If nor provided, uses mean absolute error (MAE).- weights
vector; of weights for each variable in vars_sim. If not provided, defaults to 1 for each variable.
- path
filepath; where input files are located relative to the current working directory.
- model_controls
dataframe; of configuration loaded from "model_controls.csv".
- ctrl
list; of controls for sensitivity analysis function created using the
create_controlfunction. See create_control for more details.- param_df
dataframe; of parameters to be used in the calibration. Requires the columns c("model", "file", "name", "value", "min", "max"). This is used to restart from a previous calibration.