Modern Resampling Methods: Bootstraps, Wild, Block, Permutation, and Selection Guidance

Implements modern resampling and permutation methods for robust statistical inference without restrictive parametric assumptions. Provides bias-corrected and accelerated (BCa) bootstrap (Efron and Tibshirani (1993) ), wild bootstrap for heteroscedastic regression (Liu (1988) , Davidson and Flachaire (2008) ), block bootstrap for time series (Politis and Romano (1994) ), and permutation-based multiple testing correction (Westfall and Young (1993) ). Methods handle non-normal data, heteroscedasticity, time series correlation, and multiple comparisons.