Package: rENA
Title: Epistemic Network Analysis
Type: Package
Author: Cody L Marquart [aut, cre],
  Zachari Swiecki [aut],
  Wesley Collier [aut],
  Brendan Eagan [aut],
  Roman Woodward [aut],
  David Williamson Shaffer [aut]
Authors@R: c(person("Cody L","Marquart", role = c("aut", "cre"), email="cody.marquart@wisc.edu"),person("Zachari","Swiecki", role = c("aut"), email="swiecki@wisc.edu"),person("Wesley","Collier", role = c("aut"), email="wcollier@wisc.edu"),person("Brendan","Eagan", role = c("aut"), email="beagan@wisc.edu"),person("Roman", "Woodward", role = c("aut"), email="rwoodward3@wisc.edu"),person("David", "Williamson Shaffer", role = c("aut"), email = "dws@education.wisc.edu"))
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>
Version: 0.1.4
Description: ENA (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is a method used to identify meaningful and quantifiable patterns in discourse or reasoning. ENA moves beyond the traditional frequency-based assessments by examining the structure of the co-occurrence, or connections in coded data. Moreover, compared to other methodological approaches, ENA has the novelty of (1) modeling whole networks of connections and (2) affording both quantitative and qualitative comparisons between different network models.   Shaffer, D.W., Collier, W., & Ruis, A.R. (2016) <doi:10.18608/jla.2016.33.3>.
LazyData: TRUE
Depends: R (>= 3.0.0)
License: GPL-3 | file LICENSE
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, RcppEigen
Imports: data.table, Rcpp, R6, methods, foreach, stats, plotly,
        doParallel, parallel, RcppRoll, data.tree, scales, magrittr
Suggests: testthat
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-19 14:29:06 UTC; clmarquart
Repository: CRAN
Date/Publication: 2018-04-19 23:30:15 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 13:04:18 UTC; windows
Archs: i386, x64
