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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: | 1.2.1 |
| 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: | 2024-02-06 |
| 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 |
| Reference manual: | SEMgraph.pdf |
| Package source: | SEMgraph_1.2.1.tar.gz |
| Windows binaries: | r-devel: SEMgraph_1.2.1.zip, r-release: SEMgraph_1.2.1.zip, r-oldrel: SEMgraph_1.2.1.zip |
| macOS binaries: | r-release (arm64): SEMgraph_1.2.1.tgz, r-oldrel (arm64): SEMgraph_1.2.1.tgz, r-release (x86_64): SEMgraph_1.2.1.tgz, r-oldrel (x86_64): SEMgraph_1.2.1.tgz |
| Old sources: | SEMgraph archive |
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