Network Analysis and Causal Inference Through Structural Equation Modeling R package SEMgraph version 1.2.4 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>. Software 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 Barbara Tarantino <barbara.tarantino01@universitadipavia.it> Comprehensive R Archive Network (CRAN) Mario Grassi [aut], Fernando Palluzzi [aut], Barbara Tarantino [cre] GPL-3 2025-12-17 application/tgz https://CRAN.R-project.org/package=SEMgraph doi:10.32614/CRAN.package.SEMgraph