Network Analysis and Causal Inference Through Structural Equation Modeling


[Up] [Top]

Documentation for package ‘SEMgraph’ version 1.2.2

Help Pages

alsData Amyotrophic Lateral Sclerosis (ALS) dataset
ancestors Node ancestry utilities
ancestry Node ancestry utilities
clusterGraph Topological graph clustering
clusterScore Module scoring
colorGraph Vertex and edge graph coloring on the base of fitting
cplot Subgraph mapping
dagitty2graph Graph conversion from dagitty to igraph
descendants Node ancestry utilities
extractClusters Cluster extraction utility
factor.analysis Factor analysis for high dimensional data
gplot Graph plotting with renderGraph
graph2dag Convert directed graphs to directed acyclic graphs (DAGs)
graph2dagitty Graph conversion from igraph to dagitty
graph2lavaan Graph to lavaan model
kegg KEGG interactome
kegg.pathways KEGG pathways
lavaan2graph lavaan model to graph
localCI.test Conditional Independence (CI) local tests of an acyclic graph
mergeNodes Graph nodes merging by a membership attribute
modelSearch Optimal model search strategies
orientEdges Assign edge orientation of an undirected graph
pairwiseMatrix Pairwise plotting of multivariate data
parameterEstimates Parameter Estimates of a fitted SEM
parents Node ancestry utilities
pathFinder Perturbed path search utility
properties Graph properties summary and graph decomposition
resizeGraph Interactome-assisted graph re-seizing
sachs Sachs multiparameter flow cytometry data and consensus model
SEMace Compute the Average Causal Effect (ACE) for a given source-sink pair
SEMbap Bow-free covariance search and data de-correlation
SEMdag Estimate a DAG from an input (or empty) graph
SEMdci SEM-based differential network analysis
SEMgsa SEM-based gene set analysis
SEMpath Search for directed or shortest paths between pairs of source-sink nodes
SEMrun Fit a graph as a Structural Equation Model (SEM)
SEMtree Tree-based structure learning methods
Shipley.test Missing edge testing implied by a DAG with Shipley's basis-set
siblings Node ancestry utilities
summary.GGM GGM model summary
summary.RICF RICF model summary
transformData Transform data methods
weightGraph Graph weighting methods