Man pages for fake
Flexible Data Simulation Using the Multivariate Normal Distribution
| 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 |
| HugeAdjacency | Simulation of undirected graph |
| LayeredDAG | Layered Directed Acyclic Graph |
| MakePositiveDefinite | Making positive definite matrix |
| MatchingArguments | Matching arguments |
| MaxContrast | Maximising matrix contrast |
| MinWithinProba | Within-group probabilities for communities |
| plot.roc_curve | Receiver Operating Characteristic (ROC) curve |
| Rates | True and False Positive Rates |
| ROC | Receiver Operating Characteristic (ROC) |
| SamplePredictors | Simulation of binary contribution status |
| 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 |
| SimulateSymmetricMatrix | Simulation of symmetric matrix with block structure |
| TuneCStatisticLogit | Tuning function (logistic regression) |
| TuneExplainedVarianceCor | Tuning function (correlation) |
| TuneExplainedVarianceCov | Tuning function (covariance) |
