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 Nov. 24, 2023, 5:11 p.m.
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.
| 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.