SEMgraph: Network Analysis and Causal Inference Through Structural Equation Modeling

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

Documentation:

Reference manual:

SEMgraph.pdf

Downloads:

Package source:	SEMgraph_1.2.2.tar.gz
Windows binaries:	r-devel: SEMgraph_1.2.2.zip, r-release: SEMgraph_1.2.2.zip, r-oldrel: SEMgraph_1.2.2.zip
macOS binaries:	r-release (arm64): SEMgraph_1.2.2.tgz, r-oldrel (arm64): SEMgraph_1.2.2.tgz, r-release (x86_64): SEMgraph_1.2.2.tgz, r-oldrel (x86_64): SEMgraph_1.2.2.tgz
Old sources:	SEMgraph archive

Reverse dependencies:

Reverse depends:

SEMdeep

Linking:

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