Bootstrap Analysis for the Blackbox Transpose Model — boot.blackbox

This function performs a bootstrap analysis on the Blackbox Transpose model, generating bootstrap replicates of the ideal points for stimuli.

Usage

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

Arguments

data: A matrix containing the input data for the analysis.
missing: Numeric vector indicating which values are treated as missing.
dims: Integer, the number of dimensions to analyze (default is 1).
minscale: Numeric, the minimum scale value used in the analysis.
verbose: Logical, whether to print detailed information during execution (default is FALSE).
posStimulus: Integer, the index of the stimulus used to check and correct the sign (default is 1).
R: Integer, the number of bootstrap replicates (default is 100).

Value

An array containing the bootstrapped results.

Examples

if (FALSE) { # \dontrun{
data(issues.sweden)
result <- boot.blackbox_transpose(issues.sweden, missing = 8, 
dims = 2, minscale = 5, verbose = FALSE, posStimulus = 13, R = 100)
} # }