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 to import, weight, manipulate, and fit biological network models within the Structural Equation Modeling framework proposed in Grassi M, Palluzzi F, Tarantino B (2022) <doi:10.1093/bioinformatics/btac567>.
| Version: | 1.2.2 |
|---|---|
| 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: | 2024-07-22 |
| DOI: | 10.32614/CRAN.package.SEMgraph |
| Author: | Mario Grassi [aut], Fernando Palluzzi [aut], Barbara Tarantino [aut, 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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