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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 |
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 |
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.