run_LMM_workflow | R Documentation |
Run the full workflow for LMM
run_LMM_workflow( data, rerank = TRUE, Ncpu = 2, coef = 0, rep_feature_select = 1000, rep_finetune = 1000, rep_simu = 10000 )
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 |
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) |
a list with all the output information
## 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)
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