sample_mvnorm: Sample random values from the multivariate normal...
In rbmi: Reference Based Multiple Imputation
sample_mvnorm R Documentation
Sample random values from the multivariate normal distribution
Description
Sample random values from the multivariate normal distribution
Usage
sample_mvnorm(mu, sigma)
Arguments
mu
mean vector
sigma
covariance matrix
Samples multivariate normal variables by multiplying
univariate random normal variables by the cholesky
decomposition of the covariance matrix.
If mu is length 1 then just uses rnorm instead.
rbmi documentation built on Oct. 16, 2024, 5:09 p.m.
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| sample_mvnorm | R Documentation |
Sample random values from the multivariate normal distribution
Description
Sample random values from the multivariate normal distribution
Usage
sample_mvnorm(mu, sigma)
Arguments
mu |
mean vector |
sigma |
covariance matrix Samples multivariate normal variables by multiplying univariate random normal variables by the cholesky decomposition of the covariance matrix. If mu is length 1 then just uses rnorm instead. |
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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