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`

, `pbooter`

and `tibber`

: Functions to perform bootstrap resampling that work with `ci`

(`booter`

and `pbooter`

). Allows for m < n bootstrap resampling, circular block bootstrapping, parametric bootstrap resampling (`pbooter`

), and the test-inversion bootstrap approach (`tibber`

).

### Author(s)

Eric Gilleland

### Examples

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

[Package

*distillery* version 1.2-1

Index]