cov2pcor: Partial correlation (matrix)
In gRbase: A Package for Graphical Modelling in R
cov2pcor R Documentation
Partial correlation (matrix)
Description
cov2pcor calculates the partial correlation
matrix from an (empirical) covariance matrix while
conc2pcor calculates the partial correlation matrix from
a concentration matrix (inverse covariance matrix).
Usage
cov2pcor(V)
conc2pcor(K)
Arguments
V
Covariance matrix
K
Concentration matrix
Value
A matrix with the same dimension as V.
Author(s)
Søren Højsgaard, sorenh@math.aau.dk
Examples
data(math)
S <- cov.wt(math)$cov
cov2pcor(S)
gRbase documentation built on Oct. 22, 2024, 5:06 p.m.
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| cov2pcor | R Documentation |
Partial correlation (matrix)
Description
cov2pcor calculates the partial correlation
matrix from an (empirical) covariance matrix while
conc2pcor calculates the partial correlation matrix from
a concentration matrix (inverse covariance matrix).
Usage
cov2pcor(V)
conc2pcor(K)
Arguments
V |
Covariance matrix |
K |
Concentration matrix |
Value
A matrix with the same dimension as V.
Author(s)
Søren Højsgaard, sorenh@math.aau.dk
Examples
data(math)
S <- cov.wt(math)$cov
cov2pcor(S)
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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