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) doi:10.1201/9780429246593), wild bootstrap for heteroscedastic regression (Liu (1988) doi:10.1214/aos/1176351062, Davidson and Flachaire (2008) doi:10.1016/j.jeconom.2008.08.003), block bootstrap for time series (Politis and Romano (1994) doi:10.1080/01621459.1994.10476870), and permutation-based multiple testing correction (Westfall and Young (1993) ISBN:0-471-55761-7). Methods handle non-normal data, heteroscedasticity, time series correlation, and multiple comparisons.