Forecast Portal Rodents Models

Forecast Portal rodent populations using the data and models in a portalcasting directory.

portalcast wraps around cast to allow multiple runs of model - dataset - species combinations. It returns and saves out the model combinations table with fit success added as a column.
cast runs a single forecast of a single model on one species of one dataset.
make_model_combinations translates model controls into a data.frame of model, dataset, and species columns, with a row for each combination.

Usage

portalcast(
  main = ".",
  models = prefab_models(),
  datasets = prefab_datasets(),
  species = prefab_species(main = main)
)

cast(main = ".", dataset, species, model)

make_model_combinations(
  main = ".",
  models = prefab_models(),
  datasets = prefab_datasets(),
  species = prefab_species(main = main)
)

Arguments

main

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

models, model

character vector of name(s) of model(s) to include in the forecast. In cast, model can only be length-one.

datasets, dataset

character vector of datasets to be forecast. In cast, dataset can only be length-one.

species

character vector of species to be forecast. In cast, species can only be length-one. See rodent_species.

Value

portalcast: data.frame of model combinations with a logical column added for fit success, invisible-ly.
cast: list of model outputs from process_model_output.
make_model_combinations: data.frame of the model combinations.

See also

Core forecasting functions: ensemble, evaluate forecasts, process forecast output

Examples

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

   make_model_combinations(main = main1)
   portalcast(main = main1, models = "AutoArima")
   cast(main = main1, model = "AutoArima", dataset = "controls", species = "DM")

   unlink(main1, recursive = TRUE)
} # }