likelihood_two_params: Likelihood of data in two-parameter model
In adaptiveGPCA: Adaptive Generalized PCA
View source: R/varianceComponents.R
likelihood_two_params R Documentation
Likelihood of data in two-parameter model
Description
Likelihood of data in two-parameter model
Usage
likelihood_two_params(r1, r2, Xtilde, D)
Arguments
r1
Coefficient of Q
r2
Coefficient of Q^(-1) in the noise part.
Xtilde
The data projected onto the eigenvectors of Q.
D
The eigenvalues of Q
Value
The marginal likelihood of the data given r1 and r2.
adaptiveGPCA documentation built on Dec. 8, 2022, 5:12 p.m.
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View source: R/varianceComponents.R
| likelihood_two_params | R Documentation |
Likelihood of data in two-parameter model
Description
Likelihood of data in two-parameter model
Usage
likelihood_two_params(r1, r2, Xtilde, D)
Arguments
r1 |
Coefficient of Q |
r2 |
Coefficient of Q^(-1) in the noise part. |
Xtilde |
The data projected onto the eigenvectors of Q. |
D |
The eigenvalues of Q |
Value
The marginal likelihood of the data given 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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