R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.

Estimate standarad deviation of estimates in complex surveys using bootstrap weights.

Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).

Shiny and R Markdown addons to Bootstrap 3

Contains a bootstrap wrapper for basic functions, in order to estimate effect sizes and confidence intervals (e.g. in regressions)

Bayesian comparisons of models using resampled statistics

R Examples Repository

A package for mediation, moderation, and bootstrapped indirect effects

This package provides internal bootstrap validation for 'glmnet' models.

bootstrap confidence intervals for Targeted Maximum Likelihood Estimators

An R package implementing Rubin's (1981) Bayesian bootstrap.

Tidy and easy bootstrapping

R package for displaying bootstrap-based confidence intervals around mean and median

bootstrap methods for survey data in R

Classes and functions to create and summarize different types of resampling objects

Materials accompanying the upstrap paper