rmvnorm_chol: Simulate from a Multivariate Normal Distribution
In srhaup2/clustering_scRNA: Dimensionality Reduction and Clustering For scRNA Data
Description
Usage
Arguments
Value
Description
Sample from a multivariate normal distribution based on Cholesky decomposition. Modified based on rmvnorm mixtools
Usage
1
rmvnorm_chol(n, mu = NULL, sigma = NULL)
Arguments
n
Number of vectors to simulate.
mu
Mean vector.
sigma
Covariance matrix, assumed symmetric and nonnegative definite.
Value
A n*p matrix. Each row is a multivariate normal vector generated independently based on the input parameters.
srhaup2/clustering_scRNA documentation built on Dec. 23, 2021, 4:29 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.
Description Usage Arguments Value
Description
Sample from a multivariate normal distribution based on Cholesky decomposition. Modified based on rmvnorm mixtools
Usage
1 | rmvnorm_chol(n, mu = NULL, sigma = NULL)
|
Arguments
n |
Number of vectors to simulate. |
mu |
Mean vector. |
sigma |
Covariance matrix, assumed symmetric and nonnegative definite. |
Value
A n*p matrix. Each row is a multivariate normal vector generated independently based on the input parameters.
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.