Prepare Covariate Data for Casting — prepare covariates • portalcasting

Prepare and combine the historical and forecast covariate data for a model run, according to the directory_settings.

Usage

prepare_covariates(main = ".")

Arguments

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

Value

data.frame of historical and forecasted covariates that is also saved out to settings$files$covariates if indicated by settings$save.

See also

Content preparation functions: directory filling, prepare metadata, prepare models, prepare newmoons, prepare rodents

Examples

if (FALSE) {
   main1 <- file.path(tempdir(), "covariates")

   create_dir(main = main1)
   fill_resources(main = main1)
   fill_forecasts(main = main1)
   fill_fits(main = main1)
   fill_models(main = main1)

   prepare_newmoons(main   = main1)
   prepare_rodents(main    = main1) 
   prepare_covariates(main = main1)

   unlink(main1, recursive = TRUE)
}