Package: galgo
Version: 1.4
Date: 2018-09-18
Title: Genetic Algorithms for Multivariate Statistical Models from
        Large-Scale Functional Genomics Data
Authors@R: c(person("Victor", "Trevino", role=c("aut","cre"), email="vtrevino@itesm.mx"),
			person("Francesco", "Falciani", role=c("aut"), email="F.Falciani@liverpool.ac.uk"),
			person("Copyright (C) The R Core Team", role=c("cph","ctb")),
			person("Copyright (C) The R Foundation", role=c("cph","ctb")))
Author: Victor Trevino [aut, cre],
  Francesco Falciani [aut],
  Copyright (C) The R Core Team [cph, ctb],
  Copyright (C) The R Foundation [cph, ctb]
Maintainer: Victor Trevino <vtrevino@itesm.mx>
Description: Build multivariate predictive models from large datasets
	having far larger number of features than samples such as in 
	functional genomics datasets.
	Trevino and Falciani (2006) <doi:10.1093/bioinformatics/btl074>.
License: GPL (>= 2)
LazyLoad: no
Depends: R (>= 3.0.0), R.oo
Imports: e1071, rpart, nnet, randomForest, MASS
URL: https://github.com/vtrevino/GALGO
NeedsCompilation: yes
Packaged: 2018-10-02 21:16:04 UTC; victortrevino
Repository: CRAN
Date/Publication: 2018-10-14 15:30:11 UTC
Built: R 3.6.1; x86_64-w64-mingw32; 2019-12-04 16:38:28 UTC; windows
Archs: x64
