Package: SEMgraph
Title: Network Analysis and Causal Inference Through Structural
        Equation Modeling
Version: 1.2.4
Date: 2025-12-10
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("cre"), email="barbara.tarantino01@universitadipavia.it"))
Description: Estimate networks and causal relationships in complex systems through
  Structural Equation Modeling. This package also includes functions for importing,
  weight, manipulate, and fit biological network models within the
  Structural Equation Modeling framework as outlined in the Supplementary Material of
  Grassi M, Palluzzi F, Tarantino B (2022) <doi:10.1093/bioinformatics/btac567>.
URL: https://github.com/fernandoPalluzzi/SEMgraph
Depends: igraph (>= 1.6.0), lavaan (>= 0.6-1), R (>= 4.0)
Imports: aspect, boot, corpcor, dagitty, flip, gdata, ggm, glasso,
        glmnet, graph, mgcv, mvtnorm, pbapply, protoclust, RBGL,
        Rgraphviz, graphite, AnnotationDbi
Suggests: knitr, rmarkdown, org.Hs.eg.db
VignetteBuilder: knitr
License: GPL-3
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.3.3
Maintainer: Barbara Tarantino <barbara.tarantino01@universitadipavia.it>
Repository: CRAN
Author: Mario Grassi [aut],
  Fernando Palluzzi [aut],
  Barbara Tarantino [cre]
Packaged: 2025-12-16 17:51:40 UTC; mario
Date/Publication: 2025-12-17 17:40:02 UTC
Built: R 4.5.3; ; 2026-05-21 13:52:40 UTC; windows
