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SEMgraph
View on CRAN: Click
here
Download and install SEMgraph package within the R console
Install from CRAN:
install.packages("SEMgraph")
Install from Github:
library("remotes")
install_github("cran/SEMgraph")
Install by package version:
library("remotes")
install_version("SEMgraph", "1.2.1")
Attach the package and use:
library("SEMgraph")
Maintained by
Barbara Tarantino
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-08
Latest Update: 2024-02-06
Description:
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) .
How to cite:
Barbara Tarantino (2021). SEMgraph: Network Analysis and Causal Inference Through Structural Equation Modeling. R package version 1.2.1, https://cran.r-project.org/web/packages/SEMgraph
Previous versions and publish date:
Other packages that cited SEMgraph R package
View SEMgraph citation profile
Other R packages that SEMgraph depends,
imports, suggests or enhances
Functions, R codes and Examples using
the SEMgraph R package
Some associated functions: SEMace . SEMbap . SEMdag . SEMdci . SEMgsa . SEMpath . SEMrun . SEMtree . Shipley.test . alsData . ancestry . clusterGraph . clusterScore . colorGraph . cplot . dagitty2graph . extractClusters . factor.analysis . gplot . graph2dag . graph2dagitty . graph2lavaan . kegg . kegg.pathways . lavaan2graph . localCI.test . mergeNodes . modelSearch . orientEdges . pairwiseMatrix . parameterEstimates . pathFinder . properties . resizeGraph . sachs . summary.GGM . summary.RICF . weightGraph .
Some associated R codes: ALSdata.R . keggInteractome.R . keggPathways.R . sachs.R . semCluster.R . semFit.R . semLearn.R . semPaths.R . semUtils.R . semWeights.R . Full SEMgraph package functions and examples
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