Depends: R (>= 2.10.0), methods, stats, proxy (>= 0.4-7), cluster,

was supported in part by NSF IIS-0948893 and R21HG005912 from

Markov Chain. This package implements EMM (TRACDS on top of tNN

Depends: R (>= 2.10.0), methods, stats, proxy (>= 0.4-7), MASS,

Imports: methods, stats, clusterGeneration, MASS

the National Human Genome Research Institute. Hahsler and Dunham (2010) <doi:10.18637/jss.v035.i05>.

person("Margaret H.", "Dunham", role = c("ctb")))

Imports: methods, stats, stream, cluster, clusterGeneration, MASS,

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"))
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>.
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, RcppEigen
Imports: data.table, Rcpp, R6, methods, foreach, stats, plotly,
doParallel, parallel, RcppRoll, data.tree, scales, magrittr
Packaged: 2017-10-02 12:58:03 UTC; clmarquart

Packaged: 2017-12-04 16:48:33 UTC; clmarquart