Other packages > Find by keyword >

acepack  

ACE and AVAS for Selecting Multiple Regression Transformations
View on CRAN: Click here


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", "1.6.3")



Attach the package and use:
library("acepack")
Maintained by
Shawn Garbett
[Scholar Profile | Author Map]
All associated links for this package
First Published: 1998-03-25
Latest Update: 2025-02-13
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 1.6.3, https://cran.r-project.org/web/packages/acepack. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:16), 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), 1.4.2 (2023-08-22 11:10), 1.5.0 (2025-01-21 19:30), 1.5.1 (2025-01-22 09:20), 1.5.2 (2025-01-27 17:10), 1.6.1 (2025-02-13 06:30)
Other packages that cited acepack R package
View acepack citation profile
Other R packages that acepack depends, imports, suggests or enhances
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA