Description Usage Arguments Value
Compute bootstrap estimates of confience intervals for focus and position given an aggression matrix
1 2 3 4 5 6 | dom_make_data(
aggression_matrix,
replications = 100,
epsilon = 0.694,
conf_level = 0.95
)
|
aggression_matrix |
An aggression matrix. |
replications |
The number of bootstrap replications. |
epsilon |
The regularization parameter for computing eigenvalue centrality. |
conf_level |
The confidence level used to compute lower and upper limits of the confidence intervals on focus and position. The default value is 0.95. |
Returns a data frame with columns 'focus', 'position' and confidence intervals on focus ('focus_ci_lo', 'focus_ci_hi') and position ('position_ci_lo', 'position_ci_hi').
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