Package: diffee
Version: 1.1.0
Date: 2018-07-03
Title: Fast and Scalable Learning of Sparse Changes in High-Dimensional
        Gaussian Graphical Model Structure
Authors@R: c(person("Beilun", "Wang", role = c("aut", "cre"), email = "bw4mw@virginia.edu"), person("Yanjun", "Qi", role = "aut", email = "yanjun@virginia.edu"),person("Zhaoyang", "Wang", role = c("aut"), email = "zw4dn@virginia.edu"))
Author: Beilun Wang [aut, cre],
  Yanjun Qi [aut],
  Zhaoyang Wang [aut]
Maintainer: Beilun Wang <bw4mw@virginia.edu>
Depends: R (>= 3.0.0), igraph, pcaPP
Description: This is an R implementation of Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure (DIFFEE). The DIFFEE algorithm can be used to fast estimate the differential network between two related datasets. For instance, it can identify differential gene network from datasets of case and control. By performing data-driven network inference from two high-dimensional data sets, this tool can help users effectively translate two aggregated data blocks into knowledge of the changes among entities between two Gaussian Graphical Model. Please run demo(diffeeDemo) to learn the basic functions provided by this package. For further details, please read the original paper: Beilun Wang, Arshdeep Sekhon, Yanjun Qi (2018) <arXiv:1710.11223>.
License: GPL-2
URL: https://github.com/QData/DIFFEE
BugReports: https://github.com/QData/DIFFEE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-07-03 19:28:20 UTC; Karen Chen
Repository: CRAN
Date/Publication: 2018-07-03 19:50:03 UTC
Built: R 4.6.0; ; 2026-04-26 03:19:59 UTC; unix
