Man pages for neurodata/graphstats
Graph Statistics
| celegans.herm.chem | C. Elegans Hermaphrodite Chemical Connectome |
| celegans.herm.gap | C. Elegans Hermaphrodite Gap-Junction Connectome |
| celegans.male.chem | C. Elegans Male Chemical Connectome |
| celegans.male.gap | C. Elegans Male Gap-Junction Connectome |
| fly.mushroom.left | Drosophila Left Mushroom Body Connectome |
| fly.mushroom.right | Drosophila Right Mushroom Body Connectome |
| gclust | Select number of mixture components for Gaussian Mixture... |
| gs.as_adj | From Graph Helper |
| gs.as_graph | To Graph Helper |
| gs.dim.select | Dimensionality selection for singular values using profile... |
| gs.edge.log | Run pass-to-log on a weighted graph. |
| gs.edge.ptr | Run pass-to-rank on a weighted graph. |
| gs.edge.threshold | Threshold a weighted graph. |
| gs.embed | Embedding Helper |
| gs.embed.ase | Spectral Embedding of Adjacency Matrices |
| gs.embed.lse | Spectral Embedding of the Laplacian of a Graph |
| gs.omni | Omnibus |
| gs.output | Output Helper |
| gs.plot.grid | Graph Grid plot |
| gs.plot.heatmap | Graph Heatmap plot |
| gs.plot.heatmap_overlay | Graph Grid plot |
| gs.plot.matrix.pairs | Matrix Pairs Plot |
| gs.poisson.fit.zip | Zero-Inflated Poisson Model |
| gs.sbm.fit | Stochastic Block Model |
| gs.siem.batch.perm | SIEM for Batch Detection |
| gs.siem.batch.tstat | Test Statistic for Batch Detection |
| gs.siem.fit | Structured Independent Edge Model, Single Sample |
| gs.siem.model.params | SIEM Model Parameters |
| gs.siem.sample.test | Estimator Sample Test |
| gs.sims.er | Erdos-Renyi Graphs |
| gs.sims.latent_pos | Sample Graph from Latent Position |
| gs.sims.sbm | Stochastic-Block Model Graphs |
| gs.sims.siem | Structured Independent Edge Model Graphs |
| gs.ssg.bern.edge_test | Bernoulli Subgraph Edge Test |
| gs.test.semipar | Semiparametric two-sample testing |
| gs.utils.check_params | Stochastic-Block Model Graphs |
| gs.xfm.apply_model | Apply Graph Model |
| gs.xfm.rank_graph | Rank Graph |
| gs.xfm.thresh_graph | Threshold Graph |
| gs.xval.split | Cross-Validation Data Splitter |
| human.dmri | Human dMRI Connectome |
| human.female.dmri | Human Female dMRI Connectome |
| human.fmri | Human fMRI Connectome |
| human.male.dmri | Human Male dMRI Connectome |
| model.var | SIEM Model Variance |
| mouse.dmri | Mouse dMRI Connectome |
| multiStart | Multiple Restart SGM |
| nonpar | Nonparametric two-sample testing using kernel-based test... |
| ptr | Run pass-to-rank on a weighted graph. |
| rdpg.sample.correlated | Samples a pair of correlated G(X) random dot product graphs |
| rsp | Find a suitable initial position for multistart SGM |
| sg.bern.compute_graph_statistics | Bernoulli Subgraph Computation |
| sg.bern.estimator | A function to fit a bernoulli distribution to a given... |
| sg.bern.graph_estimator | A function to fit a bernoulli distribution to the edges of... |
| sg.bern.sample_graph | Sample Graphs from Bernoulli Distribution |
| sg.bern.subgraph_classifier | Bernoulli Subgraph Classifier |
| sg.bern.subgraph_edge_estimation | Bernoulli Subgraph Edge Estimation |
| sg.bern.subgraph_estimator | Bernoulli Subgraph Estimator |
| sg.bern.subgraph_train | Bernoulli Subgraph Train |
| sg.bern.xval_classifier | Cross-Validated Bernoulli Subgraph Classifier |
| sgc | Run spectral clustering on a (possibly directed) (possibly... |
| sgm | Matches Graphs given a seeding of vertex correspondences. |
| sgm.ordered | Matches Graphs given a seeding of vertex correspondences |
| vnsgm | Vertex Nomination via Seeded Graph Matching |
| vnsgm.ordered | Vertex Nomination via Seeded Graph Matching |
