acepack: ACE and AVAS for Selecting Multiple Regression Transformations
Version 1.4.1

Two nonparametric methods for multiple regression transform selection are provided. The first, Alternative Conditional Expectations (ACE), is an algorithm to find the fixed point of maximal correlation, i.e. it finds a set of transformed response variables that maximizes R^2 using smoothing functions [see Breiman, L., and J.H. Friedman. 1985. "Estimating Optimal Transformations for Multiple Regression and Correlation". Journal of the American Statistical Association. 80:580-598. ]. Also included is the Additivity Variance Stabilization (AVAS) method which works better than ACE when correlation is low [see Tibshirani, R.. 1986. "Estimating Transformations for Regression via Additivity and Variance Stabilization". Journal of the American Statistical Association. 83:394-405. ]. A good introduction to these two methods is in chapter 16 of Frank Harrel's "Regression Modeling Strategies" in the Springer Series in Statistics.

AuthorPhil Spector, Jerome Friedman, Robert Tibshirani, Thomas Lumley, Shawn Garbett, Jonathan Baron
Date of publication2016-10-29 00:11:52
MaintainerShawn Garbett <shawn.garbett@vanderbilt.edu>
LicenseMIT + file LICENSE
Version1.4.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("acepack")

Popular man pages

ace: Alternating Conditional Expectations
avas: Additivity and variance stabilization for regression
See all...

All man pages Function index File listing

Man pages

ace: Alternating Conditional Expectations
avas: Additivity and variance stabilization for regression

Functions

Files

inst
inst/README.avas
inst/ace.doc
inst/README
inst/README.ace
tests
tests/testthat.R
tests/testthat
tests/testthat/test_transform.R
src
src/ace.f
src/rlsmo.f
src/avas.f
NAMESPACE
NEWS
R
R/acepack.R
R/zzz.R
MD5
DESCRIPTION
LICENSE.note
man
man/avas.Rd
man/ace.Rd
LICENSE
acepack documentation built on May 20, 2017, 12:34 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.