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 [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 | fileLICENSE |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | ncodeR results |
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