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 26 Aug. 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

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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