Dense graphs from graphons and graphettes | Using the graphon | Using the graphette | Sparse graphs using $\rho_n$ | Using the standard graphon and $\rho_n$ separately | Using the function sample_sparse_graphon | Sparse graphs using $\rho_n$ and the graph edit function | Adding stars | Adding rings | Removing cycles | References

(U,W)-mixture graphs | The two graphons W and U | Generating the mixture graph in one step | Generating a dense and sparse graph and joining to get the mixture | Estimating graphon U | Observing the elbow point in unique log degrees | Detecting the elbow point and estimating $U$ | References

Line graphs | Line graphs of star graphs | Sparse graphs | Graphons | Graphons of sparse graphs | Graphons of line graphs | Janson's theorem | Generating stars as inverse line graphs | References

netseer | Installation | An example | Plotting a couple of graphs | Predicting the next graph | Predicting the graph at 2 time steps ahead | Predicting the graph at 3 time steps ahead | References

Classification Algorithms | Fitting a Continuous IRT Model to Algorithm Performance Data | The Problem Difficulty Space and Algorithm Performance | Strengths and Weaknesses of Algorithms | Is this a good model? Model Goodness Metrics | A Polytomous IRT model | Model Goodness | References

The dataset | Initial explorations | Spatial snapshots through time | Time series snapshots for different locations | Spatial empirical means (averaged over time) | Temporal empirical means (averaged over space) | Hovmoller plots | Ridgeline plots | Investigating the covariance | Empirical covariances | Space-time semi-variograms | Computations similar to PCA | Empirical Orthogonal Functions (EOF) | Spatio-temporal Canonical Correlation Analysis

The dataset | Initial explorations | Spatial snapshots through time | Time series snapshots for different locations | Spatial empirical means (averaged over time) | Temporal empirical means (averaged over space) | Hovmoller plots | Ridgeline plots | Investigating the covariance | Empirical covarainces | Space-time semivariograms | Computations similar to PCA | Empirical Orthogonal Functions (EOF) | Spatio-temporal Canonical Correlation Analysis

Synthetic data | Plotting | Features | Anomalies

Installation | Load libraries | Example 1 | Example 2 | References