GenG: Generate grouped data G
In zhibinghe/Phub: modified EM algorithm for Penalized Hub Model
GenG R Documentation
Generate grouped data G
Description
Generate grouped data G
Usage
GenG(A, T, rho)
Arguments
A
(n0+1)*n-dimensional adjacent matrix
T
number of observations (groups)
rho
a (n0+1) dimensional vector containing hub weight
Value
T*n matrix
Examples
n = 100; n0 = 5; T = 1000
A0 = GenA(n,n0,0.4,0.1,rep(0.05,100))
rho = c(0.2,rep(0.8/n0,n0))
G0 = GenG(A0,T,rho)
zhibinghe/Phub documentation built on Feb. 21, 2025, 11:52 a.m.
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| GenG | R Documentation |
Generate grouped data G
Description
Generate grouped data G
Usage
GenG(A, T, rho)
Arguments
A |
(n0+1)*n-dimensional adjacent matrix |
T |
number of observations (groups) |
rho |
a (n0+1) dimensional vector containing hub weight |
Value
T*n matrix
Examples
n = 100; n0 = 5; T = 1000
A0 = GenA(n,n0,0.4,0.1,rep(0.05,100))
rho = c(0.2,rep(0.8/n0,n0))
G0 = GenG(A0,T,rho)
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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