Description Usage Arguments Value Note References
View source: R/precision_sfn.R
Constructs a scale free network (SFN) precision matrix according to the Barabasi algorithm.
1 | precision_sfn(q, n_edge = 1, shift = 1, power = 1, zero_appeal = 1)
|
q |
square dimension of covariance matrix (positive integer) |
n_edge |
Barabasi algorithm number of edges per step for SFN covariance matrix (positive integer) |
shift |
eigenvalue shift parameter for SFN covariance matrix ( |
power |
scaling power for SFN covariance matrix (positive numeric) |
zero_appeal |
Barabasi algorithm baseline attractiveness for SFN covariance matrix (positive numeric) |
Returns an FGN covariance matrix.
See also get.adjacency
,
barabasi.game
, and
sample_pa
.
chen2016hightsmvr
\insertRefbarabasitsmvr
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