block.true.cov: This function construct a covariance matrix with a block...
In sparseCov: Sparse Covariance Estimation Based on Thresholding
block.true.cov R Documentation
This function construct a covariance matrix with a block diagonal structure.
Description
This function construct a covariance matrix with a block diagonal structure.
Usage
block.true.cov(p, block.size = 3)
Arguments
p
The number of variants.
block.size
The block size.
Value
A covariance matrix with a block diagonal structure.
Examples
data.true.cov <- block.true.cov(30)
data.true.cov[1:9,1:9]
sparseCov documentation built on May 29, 2024, 1:38 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.
| block.true.cov | R Documentation |
This function construct a covariance matrix with a block diagonal structure.
Description
This function construct a covariance matrix with a block diagonal structure.
Usage
block.true.cov(p, block.size = 3)
Arguments
p |
The number of variants. |
block.size |
The block size. |
Value
A covariance matrix with a block diagonal structure.
Examples
data.true.cov <- block.true.cov(30)
data.true.cov[1:9,1:9]
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.