Package: CBDA
Type: Package
Title: Compressive Big Data Analytics
Version: 1.0.0
Authors@R: c(person("Simeone", "Marino",
            role = c("aut", "cre"),email = "simeonem@umich.edu"),
            person("Ivo", "Dinov", role = "aut"))
Maintainer: Simeone Marino <simeonem@umich.edu>
Description: Classification performed on Big Data. It uses concepts from compressive sensing, and implements ensemble predictor (i.e., 'SuperLearner') and knockoff filtering as the main machine learning and feature mining engines.
License: GPL-3
URL: https://github.com/SOCR/CBDA
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: stats , utils , prettydoc , foreach , SuperLearner, parallel ,
        doParallel
Depends: R(>= 3.3.0)
VignetteBuilder: knitr
Suggests: knitr, rmarkdown , FNN , e1071 , missForest , knockoff ,
        caret , smotefamily , xgboost , bartMachine , glmnet ,
        randomForest
NeedsCompilation: no
Packaged: 2018-04-13 21:30:14 UTC; simeonem
Author: Simeone Marino [aut, cre],
  Ivo Dinov [aut]
Repository: CRAN
Date/Publication: 2018-04-16 14:56:33 UTC
Built: R 4.0.2; ; 2020-07-16 13:00:22 UTC; unix
