Flexible Data Simulation Using the Multivariate Normal
Distribution
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Documentation for package ‘fake’ version 1.4.0
Help Pages
| BlockDiagonal | Block diagonal matrix |
| BlockMatrix | Block matrix |
| BlockStructure | Block structure |
| Concordance | Concordance statistic |
| Contrast | Matrix contrast |
| ExpectedCommunities | Expected community structure |
| ExpectedConcordance | Expected concordance statistic |
| Heatmap | Heatmap visualisation |
| LayeredDAG | Layered Directed Acyclic Graph |
| MakePositiveDefinite | Making positive definite matrix |
| MatchingArguments | Matching arguments |
| MinWithinProba | Within-group probabilities for communities |
| plot.roc_curve | Receiver Operating Characteristic (ROC) curve |
| ROC | Receiver Operating Characteristic (ROC) |
| SimulateAdjacency | Simulation of undirected graph with block structure |
| SimulateClustering | Simulation of data with underlying clusters |
| SimulateComponents | Data simulation for sparse Principal Component Analysis |
| SimulateCorrelation | Simulation of a correlation matrix |
| SimulateGraphical | Data simulation for Gaussian Graphical Modelling |
| SimulatePrecision | Simulation of precision matrix |
| SimulateRegression | Data simulation for multivariate regression |
| SimulateStructural | Data simulation for Structural Causal Modelling |