Man pages for robertness/signalgraph
Signal Processing with Graphs
| addBiases | Add Nodes Corresponding to Biases |
| addDataToVertices | Add data to vertices |
| add_error | Add error to a specific columns in a table |
| add_gauss_error | Add Gaussian error |
| causal_prioritization | K order node selection |
| checkArgs | Check validity of arguments |
| checkVector | Checks the validity of a vertex vector attribute |
| doChainRule | Back-propagation of derivative calculation |
| examine_signal_graph | Summarize the values of an signal graph model |
| fitNetwork | Fit a Signalgraph model |
| fit_weights_for_node | Fit incoming edge weights for intervention vertex |
| format_vertex_list | A helper function used in summarizing signal graph structures |
| get_fitted | Get a data frame of output signals |
| get_gate | Create an signal graph model of a multi-layer perceptron... |
| getGradientFunction | Gradient generating closure |
| getMSE | MSE calculation |
| getObjective | Closure for generating a penalized least squares loss... |
| getOptimizationFunction | Closure for optimization with BFGS and specified gradient... |
| getOptimizationFunctionNG | Closure for optimization with BFGS, no gradient function... |
| getPrediction | Get a new graph used for prediction |
| get_structure | Pull igraph structure from a signal graph |
| gradientDescent | Gradient descent on weights |
| historic_fits | Fits of signal graph model to KEGG data |
| initializeEdges | Initalize edge attributes |
| initializeGraph | Create an signal graph object that is unfitted |
| initializeGraphAttributes | Initialize graph attributes of a graph object |
| initializeVectorAttributesForVertex | Initialize numerically-valued vertex attributes |
| initializeVertexBooleans | Initialize boolean vertex attibutes |
| initializeVertexVectors | Add vector attributes to graph vertices |
| initializeVertices | Initialize the vertex attributes and values |
| initializeWeights | Simulating starting weights |
| k_order_union | Intersection of top k sets |
| loadCN | Load Markov Blankets |
| logistic | The logistic function The logistic function and its... |
| logistic_to_positive | Convert logistic activation parameters to parameters in u /... |
| long_test | Perform long tests Select whether or not to perform more time... |
| mapk_g | KEGG MAPK Signaling Pathway Phosphorylation Network |
| power_signal_graph | Simulate a scale-free signal graph structure from an input... |
| power_sim_no_singleton | Singleton-free power law sim The objective is to simulate... |
| rand_case | Test Case: Random graph and matching data |
| random_sg | Generate a random fitted signalgraph object |
| random_unfit_sg | Generate a random unfit signalgraph object Since the vertices... |
| recover_design | Pull observed data from a signalgraph object |
| regenerate_graph_data | Regenerate the data values in a signal graph |
| rescale_df | Rescale the column of a data frame to between 0 and 1 |
| resetUpdateAttributes | Reset Model Attributes |
| sg_viz | Visualize a signal graph object |
| signalgraph-package | Signal Processing with Graphs |
| sim_data_from_system | Generate data from a simulated signal graph Pull data frame... |
| sim_system | Generate a random signalgraph object for data simulation |
| titanic3 | Titanic Data |
| transformations | Transformations |
| update_signals | Propagation of fitted values through the graph. |
| update_weights | Traversing the network for fit weight sets. |
