rmvnorm: rmvnorm helper function to draw multivariate normal samples
In elisvb/CCAM: Censored Catch Assessment Model
rmvnorm R Documentation
rmvnorm helper function to draw multivariate normal samples
Description
rmvnorm helper function to draw multivariate normal samples
Usage
rmvnorm(n = 1, mu, Sigma, seed)
Arguments
n
the number of samples.
mu
the mean vector.
Sigma
a positive-definite symmetric matrix specifying the covariance matrix.
seed
optional seed
Details
Generates samples via the Cholesky decomposition, which is less platform dependent than eigenvalue decomposition.
Value
If n = 1 a vector of the same length as mu, otherwise an n by length(mu) matrix with one sample in each row.
elisvb/CCAM documentation built on March 13, 2023, 6:55 a.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.
| rmvnorm | R Documentation |
rmvnorm helper function to draw multivariate normal samples
Description
rmvnorm helper function to draw multivariate normal samples
Usage
rmvnorm(n = 1, mu, Sigma, seed)
Arguments
n |
the number of samples. |
mu |
the mean vector. |
Sigma |
a positive-definite symmetric matrix specifying the covariance matrix. |
seed |
optional seed |
Details
Generates samples via the Cholesky decomposition, which is less platform dependent than eigenvalue decomposition.
Value
If n = 1 a vector of the same length as mu, otherwise an n by length(mu) matrix with one sample in each row.
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.