c(
person("R. Michael", "Furr", role = c("aut", "cre"), email = "FurrRM@wfu.edu"),
person("Sarah", "Heuckeroth", role = "aut", email = "heucsa16@wfu.edu"))
R. Michael Furr [aut, cre],
Sarah Heuckeroth [aut]
Primarily, the 'qcv' package computes key indices related to the Quantifying Construct
Validity procedure (QCV; Westen & Rosenthal, 2003 <doi:10.1037/0022-3514.84.3.608>;
see also Furr & Heuckeroth, in press). The qcv() function is the heart of the 'qcv' package,
but additional functions in the package provide useful ancillary information related to the QCV procedure.

Bridging the gap between qualitative data and quantitative
analysis
R (>= 2.15), gdata, ggplot2 (>= 0.9.2), grid, scales
gridExtra, chron, RColorBrewer, igraph, tm, wordcloud,
venneuler, openNLPmodels.en, Snowball, gplots, gridExtra,
gdata, openNLP, XML, RCurl, reshape2, parallel
This package automates many of the tasks associated with
quantitative discourse analysis of transcripts containing
discourse including frequency counts of sentence types, words,
sentence, turns of talk, syllable counts and other assorted
analysis tasks.  The package provides parsing tools for
preparing transcript data.  Many functions enable the user to
aggregate data by any number of grouping variables providing
analysis and seamless integration with other R packages that
undertake higher level analysis and visualization of text.
This provides the user with a more efficient and targeted
analysis.

R (>= 2.15), gdata, ggplot2 (>= 0.9.2), grid, reports, scales
gridExtra, chron, grDevices, RColorBrewer, igraph, tm,
wordcloud, venneuler, openNLPmodels.en, Snowball, gplots,
gridExtra, openNLP, plotrix, XML, RCurl, reshape2, parallel,
tools
qdap is not compiled for Mac users.  Installation instructions
for Mac user or other OS users having difficulty installing
qdap please visit:
http://trinker.github.com/qdap_install/installation

This package automates many of the tasks associated with
quantitative discourse analysis of transcripts containing
discourse including frequency counts of sentence types, words,
sentences, turns of talk, syllables and other assorted analysis
tasks.  The package provides parsing tools for preparing
transcript data.  Many functions enable the user to aggregate
data by any number of grouping variables providing analysis and
seamless integration with other R packages that undertake
higher level analysis and visualization of text.  This affords
the user a more efficient and targeted analysis.
I would like to thank the many folks at talkstats.com
and stackoverflow.com for their help in answering many R
questions related to qdap.  I'd like to particularly thank
Dason Kurkiewicz for his constant mentoring/assistance in
learning the R language, GitHub and package development.