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>.
| Version: | 1.4 |
| Depends: | R (≥ 3.0.0), R.oo |
| Imports: | e1071, rpart, nnet, randomForest, MASS |
| Published: | 2018-10-14 |
| 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 at itesm.mx> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/vtrevino/GALGO |
| NeedsCompilation: | yes |
| CRAN checks: | galgo results |
| Reference manual: | galgo.pdf |
| Package source: | galgo_1.4.tar.gz |
| Windows binaries: | r-devel: galgo_1.4.zip, r-release: galgo_1.4.zip, r-oldrel: galgo_1.4.zip |
| OS X binaries: | r-release: galgo_1.4.tgz, r-oldrel: galgo_1.4.tgz |
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