| bdg.estimate | Wrapper for estimating posterior probabilities with bdgraph |
| bdg.islands | Estimate connected components independently |
| bdg.metanet | Estimate a meta-network from module eigengenes |
| blanket.cred | Computes complexity reduction of the blanket |
| blanket.inform | Adds prior information where the blanket is lifted |
| blanket.lift | Lifts the blanket from within or between modules |
| blanket.new | Create a new blanket covering the entire graph search space |
| eig.exp | Variance explained by eigengen from the kth principal... |
| eig.get | Module eigengene from the kth principal component for a... |
| fuzzy.mods | Classify fuzzy modules with quadratic disciminant analysis |
| fuzzy.plot | Visualize fuzzy module classification |
| fuzzy.predict | Classify fuzzy membership for a module with quadratic... |
| keep.var | Keep variables with non-zero variance within subtypes |
| me.get | Module eigengenes from the kth principal component for all... |
| mm.get | Module memberships by correlation with eigengene for a module |
| mm.merged | Wrapper to merge module memberships for the first two... |
| model.edges | Get a string-representation of igraph edges |
| model.er | Simulate network via erdos-renyi model |
| model.ff | Simulate network via forest fire model |
| model.hpa | Simulate diverging models through preferential attachment |
| model.kd | Plot model degree distribution |
| model.layout | Spring-embedded layout |
| model.mer | Simulate network via modular erdos-renyi model |
| model.mpa | Simulate network via modular preferential attachment model |
| model.pa | Simulate network via preferential attachment model |
| model.plot | Plot model |
| model.rename | Rename igraph vertices as characters |
| model.sim | Simulate multivariate Gaussian data for a model |
| model.similarity | Szymkiewicz–Simpson coefficient of edges |
| model.simplify | Removes loops, multi-edges, and isolated vertices from graph |
| models.plot | Plot one or more models highlighting differences |
| models.similarity | Edge similarity of two or more graphs |
| model.sw | Simulate network via small world model |
| mod.plot | Plot membership of all genes for one module |
| mods.detect | Wrapper for weighted gene co-expression analysis |
| mods.plot | Plot membership of all genes for all modules |
| pvector | A push/pop capable vector |
| rank.var | Rank variables by median absolute deviation across one or... |
| rcolors | Repeatable vector of distinct colors |
| sft.check | Check and choose a soft threshold |
| sft.plot | Plot curve for soft thresholding |
| toy | Toy Data |
