SEMgraph: Network Analysis and Causal Inference Through Structural Equation Modeling (original) (raw)
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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