Facilitate Adding Models to a Directory

Create a new model's controls. Using the model_controls_template file as a basis for the list and leveraging element-specific functions to fill in details.
Each of the specific new_model_< > functions wraps an update_list call starting with the model_controls_template as the main list and taking any named elements as inputs via ....

Usage

model_controls_template()

add_new_model(main = ".", new_model_controls = model_controls_template())

new_model_controls(...)

new_model_metadata(...)

new_model_fit(...)

new_model_forecast(...)

new_model_interpolate(...)

new_model_datasets(...)

new_model_response(...)

Arguments

main

character value of the name of the main component of the directory tree.

new_model_controls

list of controls for any new models (not in the prefab models) listed in models that are to be added to the control list and file.

...

Named list of arguments passed to update_list.

Value

model_controls_template: list of named model controls elements, many as NULL.
new_model_controls: list of named model controls.
new_model_metadata: list of named model metadata elements to the controls list.
new_model_fit: list of named model fit function and argument elements to the controls list.
new_model_forecast: list of named forecast function and argument elements to the controls list.
new_model_interpolate: list of named interpolation requirements elements to the controls list.
new_model_datasets: list of named dataset elements to the controls list.
new_model_response: list of named response data description elements to the controls list.
add_new_model: model controls list for the new model, invisible-ly.

Details

Having been created using new_model_controls, the new model's controls can either be added to the directory at directory creation (via setup_dir or related setup_<> functions) or update (via update_dir) steps or via add_new_model.

See also

Directory customization functions: new datasets

Examples

if (FALSE) { # \dontrun{
   main1 <- file.path(tempdir(), "new_model_controls")
   setup_dir(main = main1)

   model_controls_template( )

   new_controls <- new_model_controls(metadata = new_model_metadata(name       = "newmod", 
                                                                    print_name = "New Model"),
                                      fit      = new_model_fit(fun  = "arima", 
                                                               args = list(x = "abundance")),
                                      response = new_model_response(link           = "normal", 
                                                                    type           = "distribution", 
                                                                    scoring_family = "normal"))
   added <- add_new_model(main               = main1, 
                          new_model_controls = new_controls)

   portalcast(main     = main1, 
              models   = "newmod", 
              datasets = "all", 
              species  = c("DM", "PP", "total"))


   unlink(main1, recursive = TRUE)
 } # }