computeCorrelation: MICor - Matrix of implied correlation for a RAM model in...
In trbrick/MICr: Matrices of Implied Causation in R
Description
Usage
Arguments
Details
Value
Description
Computes a correlation or covariance matrix for a RAM model. You can do this
better by using 'mxGetExpected(model, "covariance")'. This function is here
because a reader asked that we make it.
Usage
1
computeCorrelation(model, latents = TRUE, stdize = TRUE)
Arguments
model
An Mx model in the RAM formulation
latents
Include latent variables? (default TRUE)
stdize
Return a correlation matrix instead of a covariance? (default TRUE)
Details
See Paper.
Value
The covariance or correlation matrix implied by this model.
trbrick/MICr documentation built on March 7, 2020, 3:30 p.m.
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Description Usage Arguments Details Value
Description
Computes a correlation or covariance matrix for a RAM model. You can do this better by using 'mxGetExpected(model, "covariance")'. This function is here because a reader asked that we make it.
Usage
1 | computeCorrelation(model, latents = TRUE, stdize = TRUE)
|
Arguments
model |
An Mx model in the RAM formulation |
latents |
Include latent variables? (default TRUE) |
stdize |
Return a correlation matrix instead of a covariance? (default TRUE) |
Details
See Paper.
Value
The covariance or correlation matrix implied by this model.
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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