Package: NetworkComparisonTest
Type: Package
Title: Statistical Comparison of Two Networks Based on Three Invariance
        Measures
Version: 2.2.1
Authors@R: c(
    person("Claudia", "van Borkulo", email = "cvborkulo@gmail.com",role = c("aut","cre")),
  person("Sacha", "Epskamp", role = c("aut")),
  person("Payton", "Jones", role = c("aut")),
    person("Jonas", "Haslbeck", role = c("ctb")),
  person("Alex", "Millner", role = c("ctb")))
Maintainer: Claudia van Borkulo <cvborkulo@gmail.com>
Imports: qgraph, IsingFit, IsingSampler, reshape2, stats, graphics,
        utils, Matrix, methods
Suggests: networktools
Description: This permutation based hypothesis test, suited for Gaussian and binary data, 
    assesses the difference between two networks based on several invariance measures 
    (e.g., network structure invariance, global strength invariance, edge invariance). 
    Network structures are estimated with l1-regularized partial correlations (Gaussian data) 
    or with l1-regularized logistic regression (eLasso, binary data). Suited for comparison 
    of independent and dependent samples. For dependent samples, only supported for data of 
    one group which is measured twice. See van Borkulo et al. (2017) 
    <doi:10.13140/RG.2.2.29455.38569>.
License: GPL-2
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-28 07:28:59 UTC; claudiavanborkulo
Author: Claudia van Borkulo [aut, cre],
  Sacha Epskamp [aut],
  Payton Jones [aut],
  Jonas Haslbeck [ctb],
  Alex Millner [ctb]
Repository: CRAN
Date/Publication: 2019-06-28 08:10:02 UTC
Built: R 3.5.3; ; 2020-04-22 09:55:02 UTC; windows
