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Block Bootstrapping for Clustered Data in R: This function resamples data by cluster, and returns bootstrapped point estimates, confidence intervals, standard errors, and p-values. In some circumstances the block bootstrap may have better small sample properties than cluster-robust standard errors. Potential applications include conjoint analysis.