modernBoot - 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.