bootstrap
Constructs a frequency tabulation of the top distributions for each bootstrap sample of the original data. This function can be used to explore the set of distributions that may best-fit the data.
Parameters
the original data
the evaluation method used to recommend a best-fitting family {Scoring, Ranking} Scoring is the default and uses the MODA highest overall value to make the recommendation. Ranking uses the average ranking across metrics to make the recommendation. Lower (first) place ranks are preferred.
the set of estimators to use during the estimation process
the scoring models used during the estimation process
the number of bootstrap samples of the original data
if true automatic shifting occurs, true is the default
the random number stream to use for the bootstrapping process