Bootstrap Analysis for Blackbox Model — boot.blackbox • asmcjr

This function performs a bootstrap analysis on the Blackbox model.

Usage

boot.blackbox(
  data,
  missing,
  dims = 1,
  minscale,
  verbose = FALSE,
  posStimulus = 1,
  R = 100
)

data: A dataframe containing the data to be bootstrapped.
missing: Vector of missing values.
dims: Integer, the number of dimensions to be considered in the analysis.
minscale: Minimum scale value.
verbose: Logical, whether to print detailed information (default is FALSE).
posStimulus: Integer, the position of the stimulus to check for sign correction (default is 1).
R: Integer, the number of bootstrap replicates (default is 100).

An array of bootstrapped results with class "bootbb".

if (FALSE) { # \dontrun{
data(issues.sweden)
boot.blackbox(issues.sweden, missing=8, dims=3, minscale=5, verbose=FALSE, posStimulus=13)} # }