ncodeR: Techniques for Automated Classifiers

A set of techniques that can be used to develop, validate, and implement automated classifiers. A powerful tool for transforming raw data into meaningful information, 'ncodeR' (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is designed specifically for working with big data: large document collections, logfiles, and other text data.

Version: 0.2.0.1
Depends: R (≥ 3.0.0)
Imports: R6, rhoR, cli
Suggests: testthat, magrittr, knitr, rmarkdown
Published: 2019-11-19
DOI: 10.32614/CRAN.package.ncodeR
Author: Cody L Marquart ORCID iD [aut, cre], Zachari Swiecki [aut], Brendan Eagan [aut], David Williamson Shaffer [aut]
Maintainer: Cody L Marquart <cody.marquart at wisc.edu>
BugReports: https://gitlab.com/epistemic-analytics/qe-packages/ncoder/issues
License: GPL-3 | file LICENSE
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: ncodeR results

Documentation:

Reference manual: ncodeR.pdf

Downloads:

Package source: ncodeR_0.2.0.1.tar.gz
Windows binaries: r-devel: ncodeR_0.2.0.1.zip, r-release: ncodeR_0.2.0.1.zip, r-oldrel: ncodeR_0.2.0.1.zip
macOS binaries: r-release (arm64): ncodeR_0.2.0.1.tgz, r-oldrel (arm64): ncodeR_0.2.0.1.tgz, r-release (x86_64): ncodeR_0.2.0.1.tgz, r-oldrel (x86_64): ncodeR_0.2.0.1.tgz
Old sources: ncodeR archive

Linking:

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