adapt.a | Adaptive Alpha |
behavOpen | NEO-PI-3 for Resting-state Data |
betweenness | Betweenness Centrality |
binarize | Binarize Network |
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 |
cpm | Connectome-based Predictive Modeling |
dCor | Distance Correlation for ROI Time Series |
dCor.parallel | Parallelization of Distance Correlation for ROI Time Series |
degree | Degree |
depend | Dependency Network Approach |
depna | Dependency Neural Networks |
desc | Variable Descriptive Statistics |
desc.all | Dataset Descriptive Statistics |
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 |
gain.functions | MFCF Gain Functions |
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 |
louvain | Louvain Community Detection Algorithm |
MaST | Maximum Spanning Tree |
MFCF | Maximally Filtered Clique Forest |
neoOpen | NEO-PI-3 Openness to Experience Data |
net.coverage | Network Coverage |
network.coverage | Network Coverage |
network.permutation | Permutation Test for Network Measures |
NetworkToolbox-package | NetworkToolbox-package |
neuralnetfilter | Neural Network Filter |
openness | Four Inventories of Openness to Experience |
participation | Participation Coefficient |
pathlengths | Characteristic Path Lengths |
plot.cpm | Plots CPM results |
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.chordal | Simulate Chordal Network |
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 |
un.direct | Convert Directed Network to Undirected Network |
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