Package: SEMgraph
Title: Network Analysis and Causal Inference Through Structural
        Equation Modeling
Version: 1.1.1
Date: 2022-04-09
Authors@R: c(
    person("Mario", "Grassi", role = "aut", email="mario.grassi@unipv.it"),
    person("Fernando", "Palluzzi", role = "aut", email="fernando.palluzzi@gmail.com"),
    person("Barbara", "Tarantino", role = c("aut","cre"), email="barbara.tarantino01@universitadipavia.it"))
Description: Estimate networks and causal relationships in complex systems through
  Structural Equation Modeling. This package also includes functions to import,
  weight, manipulate, and fit biological network models within the
  Structural Equation Modeling framework described in
  Palluzzi and Grassi (2021) <arXiv:2103.08332>.
URL: https://github.com/fernandoPalluzzi/SEMgraph
Depends: igraph (>= 1.2.1), lavaan (>= 0.5-23), R (>= 4.0)
Imports: boot (>= 1.3-25), cate (>= 1.0.4), corpcor (>= 1.6.9), dagitty
        (>= 0.3-0), diffusr (>= 0.1.4), flip (>= 2.5.0), gdata (>=
        2.18.0), ggm (>= 2.3), GGMncv (>= 2.1.0), glmnet (>= 2.0-18),
        graph (>= 1.56.0), leaps (>= 3.1), Matrix (>= 1.3-0), pbapply
        (>= 1.4-3), protoclust (>= 1.6.3), RcppEigen (>= 0.3.3.4.0),
        Rgraphviz (>= 2.22.0)
Suggests: huge, pcalg, SILGGM, org.Hs.eg.db
License: GPL-3
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.1.2
Maintainer: Barbara Tarantino <barbara.tarantino01@universitadipavia.it>
Repository: CRAN
Date/Publication: 2022-04-11 14:52:32 UTC
Packaged: 2022-04-09 09:00:44 UTC; Mario Grassi
Author: Mario Grassi [aut],
  Fernando Palluzzi [aut],
  Barbara Tarantino [aut, cre]
Built: R 4.0.5; ; 2022-04-21 14:26:55 UTC; windows
