Package: COSINE
Type: Package
Title: COndition SpecIfic sub-NEtwork
Version: 2.1
Date: 2014-07-09
Author: Haisu Ma
Maintainer: Haisu Ma <haisu.ma.pku.2008@gmail.com>
Depends: R (>= 3.1.0), MASS, genalg
Description: To identify the globally most discriminative subnetwork from gene
expression profiles using an optimization model and genetic algorithm
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2014-07-10 04:04:16 UTC; Evelyn
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-07-10 07:34:03
Package: galts
Type: Package
Title: Genetic algorithms and C-steps based LTS (Least Trimmed Squares)
estimation
Version: 1.3
Date: 2013-02-06
Author: Mehmet Hakan Satman
Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>
Description: This package includes the ga.lts function that estimates
LTS (Least Trimmed Squares) parameters using genetic algorithms
and C-steps. ga.lts() constructs a genetic algorithm to form a
basic subset and iterates C-steps as defined in Rousseeuw and
van-Driessen (2006) to calculate the cost value of the LTS
criterion. OLS(Ordinary Least Squares) regression is known to
be sensitive to outliers. A single outlying observation can
change the values of estimated parameters. LTS is a resistant
estimator even the number of outliers is up to half of the
data. This package is for estimating the LTS parameters with
lower bias and variance in a reasonable time. Version 1.3
included the function medmad for fast outlier detection in
linear regression.
Depends: genalg, DEoptim
Repository: CRAN
License: GPL
LazyLoad: yes
Packaged: 2013-02-06 20:25:43 UTC; hako
Date/Publication: 2013-02-07 09:27:39
providing 
.