individualDomProb: individual-level probability converter
In Perc: Using Percolation and Conductance to Find Information Flow Certainty in a Direct Network
Description
Usage
Arguments
Value
See Also
Examples
Description
individualDomProb convert win-loss probability matrix into long format for each dyad
Usage
1
Arguments
matrix
the win-loss matrix which is the second output from conductance.
Value
a dataframe. Averaging probability of win-loss relationship with all other individuals.
See Also
conductance, valueConverter, dyadicLongConverter
Examples
1
2
3
4
5
6
7
# convert an edgelist to conflict matrix
confmatrix <- as.conflictmat(sampleEdgelist)
# find win-loss probability matrix
perm2 <- conductance(confmatrix, 2)
perm2$imputed.conf
perm2$p.hat
individualLevelOutput <- individualDomProb(perm2$p.hat)
Perc documentation built on May 12, 2021, 1:08 a.m.
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Description Usage Arguments Value See Also Examples
Description
individualDomProb convert win-loss probability matrix into long format for each dyad
Usage
1 |
Arguments
matrix |
the win-loss matrix which is the second output from |
Value
a dataframe. Averaging probability of win-loss relationship with all other individuals.
See Also
conductance, valueConverter, dyadicLongConverter
Examples
1 2 3 4 5 6 7 | # convert an edgelist to conflict matrix
confmatrix <- as.conflictmat(sampleEdgelist)
# find win-loss probability matrix
perm2 <- conductance(confmatrix, 2)
perm2$imputed.conf
perm2$p.hat
individualLevelOutput <- individualDomProb(perm2$p.hat)
|
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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