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 described in
Palluzzi and Grassi (2021) <arXiv:2103.08332>.
| Version: |
1.1.2 |
| Depends: |
igraph (≥ 1.3.0), lavaan (≥ 0.5-23), R (≥ 4.0) |
| Imports: |
boot (≥ 1.3-25), cate (≥ 1.0.4), corpcor (≥ 1.6.9), dagitty (≥ 0.3-0), flip (≥ 2.5.0), gdata (≥ 2.18.0), ggm (≥ 2.3), GGMncv (≥ 2.1.0), glmnet (≥ 2.0-18), graph (≥ 1.56.0), leaps (≥ 3.1), mgcv (≥ 1.8-39), pbapply (≥ 1.4-3), protoclust (≥
1.6.3), RBGL (≥ 1.68.0), Rgraphviz (≥ 2.22.0) |
| Suggests: |
huge, pcalg, SILGGM, org.Hs.eg.db |
| Published: |
2022-07-05 |
| 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 |