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| NetworkToolbox-package | NetworkToolbox-package |
| adapt.a | Adaptive Alpha |
| behavOpen | NEO-PI-3 for Resting-state Data |
| betweenness | Betweenness Centrality |
| binarize | Binarize Network |
| centlist | List of Centrality Measures |
| closeness | Closeness Centrality |
| clustcoeff | Clustering Coefficient |
| comcat | Communicating Nodes |
| comm.close | Community Closeness Centrality |
| comm.eigen | Community Eigenvector Centrality |
| comm.str | Community Strength/Degree Centrality |
| conn | Network Connectivity |
| convert2igraph | Convert Network(s) to igraph's Format |
| convertConnBrainMat | Import CONN Toolbox Brain Matrices to R format |
| cor2cov | Convert Correlation Matrix to Covariance Matrix |
| core.items | Core Items |
| cpmEV | Connectome-based Predictive Modeling-External Validation |
| cpmFP | Connectome-based Predictive Modeling-Fingerprinting |
| cpmFPperm | Connectome-based Predictive Modeling-Fingerprinting Permutation |
| cpmIV | Connectome-based Predictive Modeling-Internal Validation |
| degree | Degree |
| depend | Dependency Network Approach |
| depna | Dependency Neural Networks |
| desc | Variable Descriptive Statisitcs |
| desc.all | Dataset Descriptive Statisitcs |
| distance | Distance |
| diversity | Diversity Coefficient |
| ECO | ECO Neural Network Filter |
| ECOplusMaST | ECO+MaST Network Filter |
| edgerep | Edge Replication |
| eigenvector | Eigenvector Centrality |
| flow.frac | Flow Fraction |
| gateway | Gateway Coefficient |
| hybrid | Hybrid Centrality |
| impact | Node Impact |
| is.graphical | Determines if Network is Graphical |
| kld | Kullback-Leibler Divergence |
| lattnet | Generates a Lattice Network |
| leverage | Leverage Centrality |
| LoGo | Local/Global Inversion Method (GGM of 'TMFG') |
| louvain | Louvain Community Detection Algorithm |
| MaST | Maximum Spanning Tree |
| nams | Network Adjusted Mean/Sum |
| neoOpen | NEO-PI-3 Openness to Experience Data |
| net.coverage | Network Coverage |
| NetworkToolbox | NetworkToolbox-package |
| neuralnetfilter | Neural Network Filter |
| participation | Participation Coefficient |
| pathlengths | Characteristic Path Lengths |
| randnet | Generates a Random Network |
| reg | Regression Matrix |
| resp.rep | Repeated Responses Check |
| rmse | Root Mean Square Error |
| rspbc | Randomized Shortest Paths Betweenness Centrality |
| sim.swn | Simulate Small-world Network |
| smallworldness | Small-worldness Measure |
| stable | Stabilizing Nodes |
| strength | Node Strength |
| threshold | Threshold Network Estimation Methods |
| TMFG | Triangulated Maximally Filtered Graph |
| transitivity | Transitivity |