is.graphical: Determines if Network is Graphical
In NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Tests for whether the network is graphical.
Input must be a partial correlation network.
Function assumes that partial correlations were computed from a multivariate normal distribution
Usage
1
is.graphical(A)
Arguments
A
A partial correlation network (adjacency matrix)
Value
Returns a TRUE/FALSE for whether network is graphical
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
Examples
1
2
3
4
5
6
## Not run:
A <- LoGo(neoOpen, normal = TRUE, partial = TRUE)
is.graphical(A)
## End(Not run)
NetworkToolbox documentation built on May 28, 2021, 5:11 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Tests for whether the network is graphical. Input must be a partial correlation network. Function assumes that partial correlations were computed from a multivariate normal distribution
Usage
1 | is.graphical(A)
|
Arguments
A |
A partial correlation network (adjacency matrix) |
Value
Returns a TRUE/FALSE for whether network is graphical
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
Examples
1 2 3 4 5 6 | ## Not run:
A <- LoGo(neoOpen, normal = TRUE, partial = TRUE)
is.graphical(A)
## End(Not run)
|
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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