January 2010
Beginner
634 pages
19h 50m
English
Content preview from R in a Nutshell
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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, ... |
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.