sdcor2cov: Covariance matrix
In SIN: A SINful Approach to Selection of Gaussian Graphical Markov Models
Description
Usage
Arguments
Value
Examples
View source: R/sinhelpfunctions.R
Description
This function takes a vector of standard deviations and a correlation
matrix as input and computes the covariance matrix.
Usage
1
sdcor2cov(stddev, corr)
Arguments
stddev
a vector of standard deviations.
corr
a correlation matrix.
Value
The function returns the covariance matrix corresponding to the input
information.
Examples
1
2
SIN documentation built on May 2, 2019, 8:23 a.m.
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Description Usage Arguments Value Examples
View source: R/sinhelpfunctions.R
Description
This function takes a vector of standard deviations and a correlation matrix as input and computes the covariance matrix.
Usage
1 | sdcor2cov(stddev, corr)
|
Arguments
stddev |
a vector of standard deviations. |
corr |
a correlation matrix. |
Value
The function returns the covariance matrix corresponding to the input information.
Examples
1 2 |
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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