Transfer predictions to a new country — pred

This function is called by the pred_transfer module and can transfer predictions generated from a model to a new area of interest.

pred_transfer(country, fit, meta, covdf = NULL, aggdf = NULL, async = FALSE)

Arguments

country: character. ISO3 code of the country.
fit: disag_model. Object returned by disag_model function that contains all the necessary objects for generating predictions.
meta: list. The metadata object
covdf: dataframe. As produced by fileInput, containing name and datapath columns of covariates
aggdf: dataframe. As produced by fileInput, containing name and datapath columns of the aggregation raster
async: logical. Whether or not the function is being used asynchronously

Value

a list of SpatRaster objects

Author

Simon Smart simon.smart@cantab.net

Examples

common <- readRDS(system.file("extdata", "fit-minimal.rds", package = "disagapp"))
common$fit$data$covariate_rasters <- unwrap_terra(common$fit$data$covariate_rasters)
# transfer to Malawi
transfer <- pred_transfer("MWI", common$fit, common$meta)
#> 
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