matrixtoGNAR: Converts an adjacency matrix to GNAR network
In nunesmatt/GNAR: Methods for Fitting Network Time Series Models
Description
Usage
Arguments
Details
Value
Examples
Description
Converts an adjacency matrix to the GNARnet form for use as an input to GNAR functions.
Usage
1
matrixtoGNAR(input.mat)
Arguments
input.mat
an adjacency matrix whose dimension equals the number of nodes in the resulting network.
Details
The values in the $dist list are the reciprocal of the values from the weighted adjacency matrix.
Value
matrixtoGNAR returns a GNARnet list with elements $edges and $dist.
Examples
1
2
#Convert fiveNet to an adjacency matrix and back again
matrixtoGNAR(as.matrix(fiveNet))
nunesmatt/GNAR documentation built on Oct. 29, 2019, 4:25 p.m.
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Description Usage Arguments Details Value Examples
Description
Converts an adjacency matrix to the GNARnet form for use as an input to GNAR functions.
Usage
1 | matrixtoGNAR(input.mat)
|
Arguments
input.mat |
an adjacency matrix whose dimension equals the number of nodes in the resulting network. |
Details
The values in the $dist list are the reciprocal of the values from the weighted adjacency matrix.
Value
matrixtoGNAR returns a GNARnet list with elements $edges and $dist.
Examples
1 2 | #Convert fiveNet to an adjacency matrix and back again
matrixtoGNAR(as.matrix(fiveNet))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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