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.

Version: 3.0.8
Depends: MASS
Published: 2014-03-07
Author: Sanford Weisberg,
Maintainer: Sanford Weisberg <sandy at umn.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.r-project.org/prijects/dr
NeedsCompilation: no
Citation: dr citation info
Materials: NEWS
In views: Multivariate, SocialSciences
CRAN checks: dr results

Downloads:

Reference manual: dr.pdf
Vignettes: Overview and Examples
Package source: dr_3.0.8.tar.gz
Windows binaries: r-devel: dr_3.0.8.zip, r-release: dr_3.0.8.zip, r-oldrel: dr_3.0.8.zip
OS X Snow Leopard binaries: r-release: dr_3.0.8.tgz, r-oldrel: dr_3.0.8.tgz
OS X Mavericks binaries: r-release: dr_3.0.8.tgz
Old sources: dr archive

Reverse dependencies:

Reverse depends: COP, CovSel, NonpModelCheck
Reverse suggests: LDRTools, LPCM