rwish: Simulation from a Wishart distribution
In amen: Additive and Multiplicative Effects Models for Networks and Relational Data
rwish R Documentation
Simulation from a Wishart distribution
Description
Simulates a random Wishart-distributed matrix
Usage
rwish(S0, nu = dim(S0)[1] + 2)
Arguments
S0
a positive definite matrix
nu
a positive integer
Value
a positive definite matrix
Author(s)
Peter Hoff
Examples
## The expectation is S0*nu
S0<-rwish(diag(3))
SS<-matrix(0,3,3)
for(s in 1:1000) { SS<-SS+rwish(S0,5) }
SS/s
S0*5
amen documentation built on May 29, 2024, 9:58 a.m.
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| rwish | R Documentation |
Simulation from a Wishart distribution
Description
Simulates a random Wishart-distributed matrix
Usage
rwish(S0, nu = dim(S0)[1] + 2)
Arguments
S0 |
a positive definite matrix |
nu |
a positive integer |
Value
a positive definite matrix
Author(s)
Peter Hoff
Examples
## The expectation is S0*nu
S0<-rwish(diag(3))
SS<-matrix(0,3,3)
for(s in 1:1000) { SS<-SS+rwish(S0,5) }
SS/s
S0*5
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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