full_routine_bootstrap: Pre-process and fit a random forest model to a sample of FOI...

In lorecatta/DENVfoiMap: Runs the analysis of the paper on global dengue FOI mapping and prediction of intervention impact

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

Description

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

Usage

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.

lorecatta/DENVfoiMap documentation built on April 1, 2022, 4:05 p.m.