| 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.