rmvnorm: Simulation from a multivariate normal distribution
In amen: Additive and Multiplicative Effects Models for Networks and Relational Data
rmvnorm R Documentation
Simulation from a multivariate normal distribution
Description
Simulates a matrix where the rows are i.i.d. samples from a multivariate
normal distribution
Usage
rmvnorm(n, mu, Sigma, Sigma.chol = chol(Sigma))
Arguments
n
sample size
mu
multivariate mean vector
Sigma
covariance matrix
Sigma.chol
Cholesky factorization of Sigma
Value
a matrix with n rows
Author(s)
Peter Hoff
amen documentation built on May 29, 2024, 9:58 a.m.
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| rmvnorm | R Documentation |
Simulation from a multivariate normal distribution
Description
Simulates a matrix where the rows are i.i.d. samples from a multivariate normal distribution
Usage
rmvnorm(n, mu, Sigma, Sigma.chol = chol(Sigma))
Arguments
n |
sample size |
mu |
multivariate mean vector |
Sigma |
covariance matrix |
Sigma.chol |
Cholesky factorization of |
Value
a matrix with n rows
Author(s)
Peter Hoff
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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