distillery-package: distillery: Methods to Distill Information from R Objects

In distillery: Method Functions for Confidence Intervals and to Distill Information from an Object

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.

distillery documentation built on May 19, 2021, 9:08 a.m.