NetworkToolbox-package |
NetworkToolbox-package |
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 |
cpmEV |
Connectome-based Predictive Modeling |
cpmFP |
Connectome-based Predictive Modeling |
cpmFPperm |
Connectome-based Predictive Modeling |
cpmIV |
Connectome-based Predictive Modeling |
cpmIVperm |
Connectome-based Predictive Modeling |
cpmPlot |
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 |
gdcnv_lmfit |
MFCF Gain Functions |
gfcnv_logdet |
MFCF Gain Functions |
gfcnv_logdet_val |
MFCF Gain Functions |
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 |
NetworkToolbox-package |
neuralnetfilter |
Neural Network Filter |
openness |
Four Inventories of Openness to Experience |
openness.key |
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 |