Tim Hesterberg

Tim Hesterberg

5 packages on CRAN

resample

cran
99.99th

Percentile

Bootstrap, permutation tests, and other resampling functions, featuring easy-to-use syntax.

biglars

cran
99.99th

Percentile

Least-angle regression, lasso and stepwise regression for numeric datasets in which the number of observations is greater than the number of predictors. The functions can be used with the ff library to accomodate datasets that are too large to be held in memory.

99.99th

Percentile

Provides a number of utility functions useful for manipulating large histograms. This includes methods to trim, subset, merge buckets, merge histograms, convert to CDF, and calculate information loss due to binning. It also provides a protocol buffer representations of the default R histogram class to allow histograms over large data sets to be computed and manipulated in a MapReduce environment.

99.99th

Percentile

Package of data sets from "Mathematical Statistics with Resampling in R" (1st Ed. 2011, 2nd Ed. 2018) by Laura Chihara and Tim Hesterberg.

splus2R

cran
99.99th

Percentile

Currently there are many functions in S-PLUS that are missing in R. To facilitate the conversion of S-PLUS packages to R packages, this package provides some missing S-PLUS functionality in R.