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acepack
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Download and install acepack package within the R console
Install from CRAN:
install.packages("acepack")
Install from Github:
library("remotes")
install_github("cran/acepack")
Install by package version:
library("remotes")
install_version("acepack", "1.4.2")
Attach the package and use:
library("acepack")
Maintained by
Shawn Garbett
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 1998-03-25
Latest Update: 2023-08-22
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.
]. A good introduction to these two methods is in chapter 16 of
Frank Harrel's "Regression Modeling Strategies" in the Springer Series in Statistics.
How to cite:
Shawn Garbett (1998). acepack: ACE and AVAS for Selecting Multiple Regression Transformations. R package version 1.4.2, https://cran.r-project.org/web/packages/acepack. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.1 (1998-03-25 22:53), 1.2-1 (1999-08-19 17:31), 1.2-2 (2000-12-19 13:30), 1.3-2.1 (2004-04-14 09:20), 1.3-2.2 (2005-08-12 08:44), 1.3-2.3 (2010-01-19 17:35), 1.3-2 (2002-05-21 18:47), 1.3-3.0 (2010-07-05 13:20), 1.3-3.1 (2012-04-06 07:45), 1.3-3.2 (2012-10-30 22:05), 1.3-3.3 (2014-11-24 12:48), 1.3 (2001-05-15 09:40), 1.4.0 (2016-10-20 21:59), 1.4.1 (2016-10-29 00:11)
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Complete documentation for acepack
Functions, R codes and Examples using
the acepack R package
Some associated functions: ace . avas .
Some associated R codes: acepack.R . zzz.R . Full acepack package functions and examples
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