R-acepack-1.4.1.tgz


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Description

R-acepack - ACE and AVAS for selecting multiple regression transformations

Property Value
Distribution NetBSD 8.1
Repository NetBSD i386
Package filename R-acepack-1.4.1.tgz
Package name R-acepack
Package version 1.4.1
Package release -
Package architecture i386
Package type tgz
Category R math
Homepage https://CRAN.R-project.org/package=acepack
License mit
Maintainer -
Download size 57.46 KB
Installed size 148.13 KB
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. <doi:10.1080/01621459.1985.10478157>]. 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. <doi:10.1080/01621459.1988.10478610>]. A good introduction
to these two methods is in chapter 16 of Frank Harrel's "Regression
Modeling Strategies" in the Springer Series in Statistics.

Alternatives

Package Version Architecture Repository
R-acepack-1.4.1.tgz 1.4.1 amd64 NetBSD
R-acepack - - -

Requires

Name Value
R >= 2.2.1nb2
g95 >= 0.91

Download

Type URL
Mirror ftp.netbsd.org
Binary Package R-acepack-1.4.1.tgz
Source Package R-acepack

Install Howto

Install R-acepack tgz package:

# pkg_add R-acepack

Files

Path
/usr/pkg/lib/R/library/acepack/libs/acepack.so

See Also

Package Description
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R-backports-1.1.4.tgz Reimplementations of functions introduced since R-3.0.0
R-base64enc-0.1.3.tgz Tools for base64 encoding
R-bayesm-3.1.3.tgz Bayesian inference for marketing/micro-econometrics
R-bbmle-1.0.20.tgz Tools for general maximum likelihood estimation
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R-bit-1.1.14.tgz Class for vectors of 1-bit booleans
R-bit64-0.9.7.tgz S3 class for vectors of 64-bit integers
R-bitops-1.0.6.tgz Functions for Bitwise operations on integer vectors
R-blob-1.2.0.tgz Simple S3 class for representing vectors of binary data ('BLOBS')
R-brew-1.0.6.tgz Templating framework for report generation
R-callr-3.3.1.tgz Call R from R
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