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modernBoot (version 0.1.1)

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

Description

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.

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Install

install.packages('modernBoot')

Version

0.1.1

License

MIT + file LICENSE

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Maintainer

Ibrahim Kholil Rakib

Last Published

December 11th, 2025

Functions in modernBoot (0.1.1)

studentized_ci

Studentized Bootstrap Confidence Interval for Quantiles
wild_boot_lm

Wild Bootstrap for Linear Model Coefficients
perm_test_2sample

Two-Sample Permutation Test
bs_mean

Nonparametric Bootstrap Confidence Interval for the Mean
perm_maxT

Permutation maxT for Multiple Testing
stationary_boot

Stationary Bootstrap (Politis & Romano)
compare_methods_sim

Simulation Study: Compare Bootstrap Methods
moving_block_boot

Moving Block Bootstrap for Time Series
auto_select_method

Automatic Resampling Method Selection
bca_ci

Bias-Corrected and Accelerated (BCa) Bootstrap Confidence Interval