indices_for_posterior_covariance: Indices for posterior covariance
In hrnasif/rvb: Reparameterized Variational Bayes
Description
Usage
Arguments
Value
View source: R/indices_for_posterior_covariance.R
Description
Finds the indices for the non-zero elements in the Cholesky decomposition
of the posterior covariance matrix. The posterior covariance is assumed to
to be a block matrix of corresponding to the local and global variables
Usage
1
indices_for_posterior_covariance(n, r, p)
Arguments
n
Integer. Number of subjects/clusters.
r
Integer. Dimensionality of random effects
p
Integer. Dimensionality of fixed effects
Value
List containing row and column indices for non-zero elements.
hrnasif/rvb documentation built on Dec. 20, 2021, 4:49 p.m.
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Description Usage Arguments Value
View source: R/indices_for_posterior_covariance.R
Description
Finds the indices for the non-zero elements in the Cholesky decomposition of the posterior covariance matrix. The posterior covariance is assumed to to be a block matrix of corresponding to the local and global variables
Usage
1 | indices_for_posterior_covariance(n, r, p)
|
Arguments
n |
Integer. Number of subjects/clusters. |
r |
Integer. Dimensionality of random effects |
p |
Integer. Dimensionality of fixed effects |
Value
List containing row and column indices for non-zero elements.
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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