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 |
| 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 |
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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