Precision2PartialCor: Compute partial correlation matrix from inverse covariance...
In btaschler/mcap: Model-Based Clustering in High Dimensions via Adaptive Projections
Description
Usage
Arguments
Value
Examples
View source: R/Precision2PartialCor.R
Description
This function takes an inverse covariance (or precision) matrix as input
and computes the partial correlation matrix.
Usage
1
Arguments
xx
The inverse covariance matrix.
Value
pcor
The partial correlation matrix
.
Examples
1
2
A <- matrix(rnorm(100),10)
Precision2PartialCor(xx = A%*%t(A))
btaschler/mcap documentation built on May 26, 2019, 1:31 a.m.
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Description Usage Arguments Value Examples
View source: R/Precision2PartialCor.R
Description
This function takes an inverse covariance (or precision) matrix as input and computes the partial correlation matrix.
Usage
1 |
Arguments
xx |
The inverse covariance matrix. |
Value
pcor |
The partial correlation matrix |
.
Examples
1 2 | A <- matrix(rnorm(100),10)
Precision2PartialCor(xx = A%*%t(A))
|
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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