simuBlockGaussian: Simulate multivariate Gaussian samples with block diagonal...
In HCgglasso: Group-Lasso with Hierarchical Clustering
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/simuBlockGaussian.R
Description
simulate n samples from a gaussian multivariate law with 0 vector mean and block diagonal variance matrix with diagonal 1 and block of rho.
Usage
1
simuBlockGaussian(n, nBlock, sizeBlock, rho)
Arguments
n
number of samples to simulate
nBlock
number of blocks
sizeBlock
size of blocks
rho
correlation within each block
Value
a matrix of size n *(nBlock*sizeBlock) containing the samples
Author(s)
Quentin Grimonprez
Examples
1
X = simuBlockGaussian(50,12,5,0.7)
HCgglasso documentation built on May 2, 2019, 4:54 p.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/simuBlockGaussian.R
Description
simulate n samples from a gaussian multivariate law with 0 vector mean and block diagonal variance matrix with diagonal 1 and block of rho.
Usage
1 | simuBlockGaussian(n, nBlock, sizeBlock, rho)
|
Arguments
n |
number of samples to simulate |
nBlock |
number of blocks |
sizeBlock |
size of blocks |
rho |
correlation within each block |
Value
a matrix of size n *(nBlock*sizeBlock) containing the samples
Author(s)
Quentin Grimonprez
Examples
1 | X = simuBlockGaussian(50,12,5,0.7)
|
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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