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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:

Please use the canonical form https://CRAN.R-project.org/package=ncodeR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.