Pre-process and fit a random forest model to a sample of FOI data

Source: R/full_routine_bootstrap.R

The function preprocess one single bootstrap sample of the original FOI data and fits a random forest model to it using the EM algorithm.

full_routine_bootstrap(parms, original_foi_data, adm_covariates,
  all_squares, covariates_names, boot_sample)

Arguments

parms

list of user-defined parameters.
original_foi_data

dataframe of the original foi estimates dataset at admin unit 1 resolution.
adm_covariates

dataframe of global covariates at admin unit 1 resolution. Default = NULL.
all_squares

dataframe of global covariates at 1/6 degree resolution.
covariates_names

character vector of covariates names.
boot_sample

dataframe of the bootstrapped dataset of foi estimates and covariates at admin unit 1 resolution (not pre-processed).

Value

the random forest model object returned by ranger.