scorer: Quickly Score Models in Data Science and Machine Learning

A set of tools for quickly scoring models in data science and machine learning. This toolset is written in C++ for blazing fast performance.

Version: 0.2.0
Depends: R (≥ 3.2.3)
Imports: Rcpp (≥ 0.12.3)
LinkingTo: Rcpp
Suggests: testthat (≥ 0.11.0)
Published: 2016-02-01
Author: Paul Hendricks [aut, cre]
Maintainer: Paul Hendricks <paul.hendricks.2013 at owu.edu>
BugReports: https://github.com/paulhendricks/scorer/issues
License: MIT + file LICENSE
URL: https://github.com/paulhendricks/scorer
NeedsCompilation: yes
Materials: README
CRAN checks: scorer results

Downloads:

Reference manual: scorer.pdf
Package source: scorer_0.2.0.tar.gz
Windows binaries: r-devel: scorer_0.2.0.zip, r-release: scorer_0.2.0.zip, r-oldrel: scorer_0.2.0.zip
OS X El Capitan binaries: r-release: scorer_0.2.0.tgz
OS X Mavericks binaries: r-oldrel: scorer_0.2.0.tgz
Old sources: scorer archive

Reverse dependencies:

Reverse imports: easyml

Linking:

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