gaselect

Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data

Provides a genetic algorithm for finding variable subsets in high dimensional data with high prediction performance. The genetic algorithm can use ordinary least squares (OLS) regression models or partial least squares (PLS) regression models to evaluate the prediction power of variable subsets. By supporting different cross-validation schemes, the user can fine-tune the tradeoff between speed and quality of the solution.

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Description file content

Package
gaselect
Type
Package
Title
Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data
Version
1.0.7
Date
2019-03-13
Author
David Kepplinger
Maintainer
David Kepplinger
Description
Provides a genetic algorithm for finding variable subsets in high dimensional data with high prediction performance. The genetic algorithm can use ordinary least squares (OLS) regression models or partial least squares (PLS) regression models to evaluate the prediction power of variable subsets. By supporting different cross-validation schemes, the user can fine-tune the tradeoff between speed and quality of the solution.
URL
BugReports
https://github.com/dakep/gaselect/issues
License
GPL (>= 2)
NeedsCompilation
yes
Encoding
UTF-8
Biarch
true
SystemRequirements
C++11
Depends
R (>= 3.0.2), methods (>= 2.10.0)
Imports
Rcpp (>= 0.10.5)
LinkingTo
Rcpp (>= 0.10.5), RcppArmadillo (>= 0.4.000)
Collate
'Evaluator.R' 'GenAlgControl.R' 'formatSegmentation.R' 'evaluate.R' 'fitness.R' 'genAlg.R' 'getEvalFun.R' 'subsets.R' 'toCControlList.R' 'validData.R'
Suggests
chemometrics
RoxygenNote
6.1.1
Packaged
2019-03-13 18:47:40 UTC; david
Repository
CRAN
Date/Publication
2019-03-13 19:10:02 UTC

install.packages('gaselect')

1.0.7

2 months ago

https://github.com/dakep/gaselect

David Kepplinger

GPL (>= 2)

Depends on

R (>= 3.0.2), methods (>= 2.10.0)

Imports

Rcpp (>= 0.10.5)

Suggests

chemometrics

Discussions