Type: Package
Package: DiffCorr
Title: Analyzing and Visualizing Differential Correlation Networks in
        Biological Data
Version: 0.4.5
Date: 2025-06-08
Authors@R: c(
    person("Atsushi", "Fukushima", , "afukushima@gmail.com", role = c("aut", "cre")),
    person("Kozo", "Nishida", , "kozo.nishida@gmail.com", role = "aut")
  )
Description: A method for identifying pattern changes between 2
    experimental conditions in correlation networks (e.g., gene
    co-expression networks), which builds on a commonly used association
    measure, such as Pearson's correlation coefficient. This package
    includes functions to calculate correlation matrices for
    high-dimensional dataset and to test differential correlation, which
    means the changes in the correlation relationship among variables
    (e.g., genes and metabolites) between 2 experimental conditions.
License: GPL-3
Depends: R (>= 3.5.0), fdrtool, igraph, multtest, pcaMethods
Imports: graphics, grDevices, stats, utils
Suggests: knitr, prettydoc, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
Config/testthat/edition: 3
Date/Publication: 2025-06-08 04:40:02 UTC
NeedsCompilation: no
Packaged: 2025-06-08 04:29:12 UTC; fuku
Repository: CRAN
RoxygenNote: 7.3.2
Author: Atsushi Fukushima [aut, cre],
  Kozo Nishida [aut]
Maintainer: Atsushi Fukushima <afukushima@gmail.com>
Built: R 4.4.1; ; 2025-06-08 05:23:37 UTC; unix
