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 [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 |
Reference manual: | ncodeR.pdf |
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 |
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