SEMgraph: Network Analysis and Causal Inference Through StructuralEquation Modeling
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>.
| Version: | 1.2.3 |
| 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 |
| Published: | 2025-01-29 |
| DOI: | 10.32614/CRAN.package.SEMgraph |
| Author: | Mario Grassi [aut], Fernando Palluzzi [aut], Barbara Tarantino [cre] |
| Maintainer: | Barbara Tarantino <barbara.tarantino01 at universitadipavia.it> |
| License: | GPL-3 |
| URL: | https://github.com/fernandoPalluzzi/SEMgraph |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | SEMgraph results |
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