R: distillery: Methods to Distill Information from R Objects

distillery-package {distillery} | R Documentation

## distillery: Methods to Distill Information from R Objects

### Description

distillery contains primarily method functions to distill out pertinent information from R objects, as well as to compute confidence intervals. It now also contains new fairly general bootstrap functions.

### Details

Primary functions include:

`distill`: Typically, to distill pertinent information from a complicated (usually a list) object and return a named vector.

`ci`: Calculate confidence intervals. This is a method function for calculating confidence intervals. Includes methods for numeric vectors and matrices, whereby the mean is taken (column-wise for matrices) and normal approximation confidence intervals for the mean are calculated and returned.

`booter` and `pbooter`: Functions to perform bootstrap resampling that work with `ci`. Allows for m < n bootstrap resampling, circular block bootstrapping, and parametric bootstrap resampling.

### Author(s)

Eric Gilleland

### Examples

    ## See help files for above named functions and datasets
    ## for specific examples.

[Package distillery version 1.0-4 Index]