run_LMM_workflow: Run the full workflow for LMM

View source: R/workflow_LMM.R

run_LMM_workflowR Documentation

Run the full workflow for LMM

Description

Run the full workflow for LMM

Usage

run_LMM_workflow(
  data,
  rerank = TRUE,
  Ncpu = 2,
  coef = 0,
  rep_feature_select = 1000,
  rep_finetune = 1000,
  rep_simu = 10000
)

Arguments

data

the full dataset

rerank

whether or not to recompute variable importance recursively during selection (default = TRUE)

Ncpu

the number of CPU cores to be used (default = 1)

coef

the coefficient used to population rangers in unsurveyed part of surveyed countries (see fill_PA_area())

rep_feature_select

the number of replicates for the feature selection (default = 1000)

rep_finetune

the number of replicates for fine tuning (default = 1000)

rep_simu

the number of simulation replicates (default = 10000)

Value

a list with all the output information

Examples

## Not run: 
  LMM_small_test <- run_LMM_workflow(data = data_rangers, Ncpu = 2, coef = 0,
                                     rep_feature_select = 2, rep_finetune = 2, rep_simu = 2)

## End(Not run)


courtiol/rangeRinPA documentation built on Sept. 29, 2022, 9:54 a.m.