Package: acepack Maintainer: Shawn Garbett Version: 1.4.0 Author: Phil Spector, Jerome Friedman, Robert Tibshirani, Thomas Lumley, Shawn Garbett, Jonathan Baron Description: 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. ]. Title: ACE and AVAS for Selecting Multiple Regression Transformations License: MIT + file LICENSE Suggests: testthat Packaged: 2016-10-20 14:40:12 UTC; garbetsp Repository: CRAN Date/Publication: 2016-10-20 21:59:35 NeedsCompilation: yes Built: R 3.2.3; x86_64-pc-linux-gnu; 2016-10-26 18:04:02 UTC; unix