Bootstrap Functions (Originally by Angelo Canty for S)
Logit of Proportions
Normal Approximation Confidence Intervals
Plots of the Output of a Bootstrap Simulation
Nonparametric ABC Confidence Intervals
Functions for Bootstrap Practicals
Bootstrap Resampling Arrays
Nonparametric Bootstrap Confidence Intervals
Bootstrap Resampling
Bootstrap for Censored Data
Control Variate Calculations
Correlation Coefficient
Calculate Third Order Cumulants
Cross-validation for Generalized Linear Models
Empirical Likelihoods
Empirical Influence Values
Confidence Envelopes for Curves
Exponential Tilting
Bootstrap Frequency Arrays
Diagnostics plots for generalized linear models
Saddlepoint Distribution Approximations for Bootstrap Statistics
Generalized Linear Model Diagnostics
Importance Sampling Estimates
Importance Sampling Weights
Inverse Logit Function
Jackknife-after-Bootstrap Plots
Linear Skewness Estimate
Linear Approximation of Bootstrap Replicates
Add a Saddlepoint Approximation to a Plot
Print a Summary of a Bootstrap Object
Print Bootstrap Confidence Intervals
Print Quantiles of Saddlepoint Approximations
Print Solution to Linear Programming Problem
Saddlepoint Distribution Approximation Objects
Saddlepoint Approximations for Bootstrap Statistics
Linear Programming Solution Objects
Simplex Method for Linear Programming Problems
Smooth Distributions on Data Points
Annual Mean Sunspot Numbers
Non-parametric Tilted Bootstrap
Bootstrapping of Time Series
Linear Variance Estimate
Functions and datasets for bootstrapping from the book "Bootstrap Methods and Their Application" by A. C. Davison and D. V. Hinkley (1997, CUP), originally written by Angelo Canty for S.