Man pages for JointNets
End-to-End Sparse Gaussian Graphical Model Simulation, Estimation, Visualization, Evaluation and Application
| aal116coordinates | AAL116 brain atlas coordinates in MNI space |
| ABIDE_aal116_timeseries | ABIDE I preprocessed time series grouped by control and... |
| add_name_to_out | helper function to add row/col names to JointNets precision... |
| AUC | return AUC score for JointNets method |
| BIC | calculate BIC score for JointNets method |
| cancer | Microarray data set for breast cancer |
| compute_cov | helper function to add compute covariance matrix / kendall... |
| diffee | Fast and Scalable Learning of Sparse Changes in... |
| dimension_reduce | reduce the dimensionality of the datalist if needed |
| exampleData | A simulated toy dataset that includes 2 data matrices (from 2... |
| exampleDataGraph | A simulated toy dataset that includes 3 igraph objects |
| F1 | Compute F1 score for JointNets result |
| F1.diffee | computes F1 score for jointnet result |
| F1.jeek | computes F1 score for jointnet result |
| F1.kdiffnet | computes F1 score for jointnet result |
| F1.simule | computes F1 score for jointnet result |
| F1.wsimule | computes F1 score for jointnet result |
| generateSampleList | function to generate a list of samples from simulatedGraph... |
| generateSamples | function to generate samples from a single precision matrix |
| jeek | A Fast and Scalable Joint Estimator for Integrating... |
| jgl | wrapper for function JGL fromo package "JGL" |
| jointplot | core function to plot |
| kdiffnet | Fast and Scalable Estimator for Using Additional Knowledge in... |
| nip_37_data | NIPS word count dataset |
| plot_brain | plot 3d brain network from JointNets result |
| plot_brain.diffee | plot 3d brain network from diffee result |
| plot_brain.jeek | plot 3d brain network from jeek result |
| plot_brain.jgl | plot 3d brain network from jgl result |
| plot_brain_joint | plot 3d brain network |
| plot_brain.kdiffnet | plot 3d brain network from kdiffnet result |
| plot_brain.simule | plot 3d brain network from simule result |
| plot_brain.wsimule | plot 3d brain network from wsimule result |
| plot.diffee | plot diffee result specified by user input |
| plot_gui | GUI of JointNets plot |
| plot.jeek | Plot jeek result specified by user input |
| plot.jgl | Plot jgl result specified by user input |
| plot.kdiffnet | plot kdiffnet result specified by user input |
| plot.simulation | Plot simulatedgraph result (generated from function... |
| plot.simule | Plot simule result specified by user input |
| plot.wsimule | Plot wsimule result specified by user input |
| QDA_eval | graphical model model evaluation using QDA as a classifier |
| returngraph | return igraph object from jointnet result specified by user... |
| returngraph.diffee | return igraph object from diffee result specified by user... |
| returngraph.jeek | return igraph object from jeek result specified by user input |
| returngraph.jgl | return igraph object from jgl result specified by user input |
| returngraph.kdiffnet | return igraph object from kdiffnet result specified by user... |
| returngraph.simulation | return igraph object from simulation result specified by user... |
| returngraph.simule | return igraph object from simule result specified by user... |
| returngraph.wsimule | return igraph object from wsimule result specified by user... |
| simulateGraph | function to simulate multiple sparse graphs |
| simulation | simulate multiple sparse graphs and generate samples |
| simule | A constrained l1 minimization approach for estimating... |
| train_valid_test_split | split a datalist to train,validation and test |
| wsimule | A constrained and weighted l1 minimization approach for... |
