R in a Nutshell, 2nd Edition

boot

This package provides functions for bootstrap resampling.

Functions

Function	Description
EEF.profile	Calculates the log-likelihood for a mean using an empirical exponential family likelihood.
EL.profile	Calculates the log-likelihood for a mean using an empirical likelihood.
abc.ci	Calculates equitailed two-sided nonparametric approximate bootstrap confidence intervals for a parameter, given a set of data and an estimator of the parameter, using numerical differentiation.
boot	Generates R bootstrap replicates of a statistic applied to data.
boot.array	Takes a bootstrap object calculated by one of the functions boot, censboot, or tilt.boot and returns the frequency (or index) array for the bootstrap resamples.
boot.ci	Generates five different types of equitailed two-sided nonparametric confidence intervals. These are the first-order normal approximation, the basic bootstrap interval, the Studentized bootstrap interval, the bootstrap percentile interval, and the adjusted bootstrap percentile (BCa) interval. All or a subset of these intervals can be generated.
censboot	Applies types of bootstrap resampling that have been suggested to deal with right-censored data. It can also perform model-based resampling using a Cox regression model.
control	Finds control variate estimates from a bootstrap output object.
corr	Calculates the weighted correlation given a data set and a set of weights.
cum3	Calculates an estimate of the third cumulant, or skewness, of a vector. Also, if more than one vector is specified, ...