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>
Author: Mario Grassi [aut], Fernando Palluzzi [aut], Barbara Tarantino
        [cre]
Packaged: 2026-10-01 10:14:03 UTC; root
Config/pak/sysreqs: libglpk-dev libpng-dev libxml2-dev libssl-dev
        libnode-dev zlib1g-dev
Repository: https://fernandopalluzzi.r-universe.dev
Date/Publication: 2025-12-18 15:43:59 UTC
RemoteUrl: https://github.com/fernandopalluzzi/semgraph
RemoteRef: HEAD
RemoteSha: 31eff1eab1f15e93d2e1bfcc869770424f75fb1a