localProcedure

A variable selection approach performed by permuting the response.

localProcedure(
  model,
  data,
  response,
  numRep = 10,
  numTreesRep = NULL,
  alpha = 0.5,
  shift = FALSE
)

Arguments

model	Model created from either the BART, dbarts or bartMachine packages.
data	A data frame containing variables in the model.
response	The name of the response for the fit.
numRep	The number of replicates to perform for the BART null model's variable inclusion proportions.
numTreesRep	The number of trees to be used in the replicates. As suggested by Chipman (2009), a small number of trees is recommended (~20) to force important variables to used in the model. If NULL, then the number of trees from the true model is used.
alpha	The cut-off level for the thresholds.
shift	Whether to shift the inclusion proportion points by the difference in distance between the quantile and the value of the inclusion proportion point.

Value

A variable selection plot using the local procedure method.