CRAN/E | CBDA

CBDA

Compressive Big Data Analytics

Installation

About

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.

github.com/SOCR/CBDA

Key Metrics

Version 1.0.0
R ≥ 3.3.0
Published 2018-04-16 1985 days ago
Needs compilation? no
License GPL-3
CRAN checks CBDA results

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Maintainer

Maintainer

Simeone Marino

simeonem@umich.edu

Authors

Simeone Marino

aut / cre

Ivo Dinov

aut

Material

Reference manual
Package source

Vignettes

Guide to Compressive Big Data Analytics [CBDA]

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.3.0

Imports

stats
utils
prettydoc
foreach
SuperLearner
parallel
doParallel

Suggests

knitr
rmarkdown
FNN
e1071
missForest
knockoff
caret
smotefamily
xgboost
bartMachine
glmnet
randomForest