Package: propr
Title: Calculating Proportionality Between Vectors of Compositional
        Data
Version: 2.0.4
URL: http://github.com/tpq/propr
BugReports: http://github.com/tpq/propr/issues
Authors@R: c(
    person("Thomas", "Quinn", email = "contacttomquinn@gmail.com", role = c("aut", "cre")),
    person("David", "Lovell", email = "david.lovell@qut.edu.au", role = "aut")
    )
Description: The bioinformatic evaluation of gene co-expression often begins with
    correlation-based analyses. However, this approach lacks statistical validity
    when applied to relative data, including those biological count data produced by
    microarray assays or high-throughput RNA-sequencing. Two metrics of proportionality,
    phi [Lovell et al (2015) <DOI:10.1371/journal.pcbi.1004075>] and rho [Erb and
    Notredame (2016) <DOI:10.1007/s12064-015-0220-8>], both derived from compositional
    data analysis, a branch of math dealing specifically with relative data,
    represent novel alternatives to correlation. This package introduces a programmatic
    framework for the calculation of feature dependence through proportionality, as
    discussed in the cited publications.
License: GPL-2
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Depends: R (>= 3.2.2)
Imports: methods, Rcpp, stats
Suggests: compositions, dendextend, fastcluster, ggplot2, ggthemes,
        knitr, rmarkdown, testthat
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2016-10-31 02:33:12 UTC; thom
Author: Thomas Quinn [aut, cre],
  David Lovell [aut]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>
Repository: CRAN
Date/Publication: 2016-10-31 07:57:10
Built: R 3.3.2; x86_64-w64-mingw32; 2016-12-02 02:11:50 UTC; windows
Archs: i386, x64
