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dr - Methods for Dimension Reduction for Regression

Functions, methods, and datasets for fitting dimension reduction regression, using slicing (methods SAVE and SIR), Principal Hessian Directions (phd, using residuals and the response), and an iterative IRE. Partial methods, that condition on categorical predictors are also available. A variety of tests, and stepwise deletion of predictors, is also included. Also included is code for computing permutation tests of dimension. Adding additional methods of estimating dimension is straightforward. For documentation, see the vignette in the package. With version 3.0.4, the arguments for dr.step have been modified.

Last updated 9 years ago

4.98 score 9 packages 122 scripts 1.5k downloads

alr4 - Data to Accompany Applied Linear Regression 4th Edition

Datasets to Accompany S. Weisberg (2014, ISBN: 978-1-118-38608-8), "Applied Linear Regression," 4th edition. Many data files in this package are included in the `alr3` package as well, so only one of them should be used.

Last updated 7 years ago

3.44 score 1 stars 282 scripts 9.8k downloads