estimateComponents2: Estimate variance components
In adaptiveGPCA: Adaptive Generalized PCA
View source: R/varianceComponents.R
estimateComponents2 R Documentation
Estimate variance components
Description
Estimate variance components in a two-parameter model where X \sim
N(0, σ^2 (r_1 Q + (1 - r_1) (r_2 Q^(-1) + (1 - r_2) I)))
Usage
estimateComponents2(X, Q)
Arguments
X
An n x p data matrix.
Q
A p x p psd matrix giving the similarity between the
variables.
Value
A vector with r1 and r2
adaptiveGPCA documentation built on Dec. 8, 2022, 5:12 p.m.
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View source: R/varianceComponents.R
| estimateComponents2 | R Documentation |
Estimate variance components
Description
Estimate variance components in a two-parameter model where X \sim N(0, σ^2 (r_1 Q + (1 - r_1) (r_2 Q^(-1) + (1 - r_2) I)))
Usage
estimateComponents2(X, Q)
Arguments
X |
An n x p data matrix. |
Q |
A p x p psd matrix giving the similarity between the variables. |
Value
A vector with r1 and r2
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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