Package: metaEnsembleR
Type: Package
Title: Intuitive Package for Meta-Ensemble Learning (Classification,
        Regression) that is Fully-Automated
Version: 0.1.0
Date: 2020-10-27
Author: Ajay Arunachalam
Maintainer: Ajay Arunachalam <ajay.arunachalam08@gmail.com>
Description: This package significantly lowers the barrier for the
        practitioners to apply heterogeneous ensemble learning
        techniques in an amateur fashion to their everyday predictive
        problems.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Imports: caret, ggplot2, graphics, e1071, gbm, randomForest
Depends: gridExtra
Suggests: knitr, R.rsp
VignetteBuilder: R.rsp
RoxygenNote: 7.1.1
Config/pak/sysreqs: libicu-dev
Repository: https://ajayarunachalam.r-universe.dev
Date/Publication: 2020-10-28 19:14:51 UTC
RemoteUrl: https://github.com/ajayarunachalam/metaensembler
RemoteRef: HEAD
RemoteSha: 4379745243d664bc0b9b24b2e13b4738bba3eab9
Packaged: 2026-10-09 09:57:00 UTC; root