Package: ncodeR 0.2.0.1

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.

Authors:Cody L Marquart [aut, cre], Zachari Swiecki [aut], Brendan Eagan [aut], David Williamson Shaffer [aut]

ncodeR_0.2.0.1.tar.gz
ncodeR_0.2.0.1.zip(r-4.7)ncodeR_0.2.0.1.zip(r-4.6)ncodeR_0.2.0.1.zip(r-4.5)
ncodeR_0.2.0.1.tgz(r-4.6-any)ncodeR_0.2.0.1.tgz(r-4.5-any)
ncodeR_0.2.0.1.tar.gz(r-4.7-any)ncodeR_0.2.0.1.tar.gz(r-4.6-any)
ncodeR_0.2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
ncodeR/json (API)

# Install 'ncodeR' in R:
install.packages('ncodeR', repos = c('https://codymarquart.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://gitlab.com/epistemic-analytics/qe-packages

Datasets:

On CRAN:

Conda:

1.85 score 1 stars 14 scripts 193 downloads 14 exports 5 dependencies

Last updated from:548f2aac60. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK145
linux-release-x86_64OK171
macos-release-arm64OK87
macos-oldrel-arm64OK119
windows-develOK82
windows-releaseOK102
windows-oldrelOK79
wasm-releaseOK100

Exports:autocodecode.setCodeSetcreate.codedifferencesexpression.matchgetHandSetIndicesgetHandSetIndices2handcodencodeold_testRegexCoderesolvetest

Dependencies:cliR6RcppRcppArmadillorhoR