rmnorm_gp2Scale: Function for the evaluating the SGV approximate density.
In BayesNSGP: Bayesian Analysis of Non-Stationary Gaussian Process Models
rmnorm_gp2Scale R Documentation
Function for the evaluating the SGV approximate density.
Description
dmnorm_gp2Scale (and rmnorm_gp2Scale) calculate the usual Gaussian
likelihood for a fixed set of parameters (but with sparse matrices). Finally,
the distributions must be registered within nimble.
Usage
rmnorm_gp2Scale(n, mean, Cov, N, Nnz)
Arguments
n
Number of realizations to generate
mean
Vector of mean values
Cov
Matrix of size N x N; sparse kernel
N
Number of measurements in x
Nnz
Number of measurements in x
Value
Not applicable.
BayesNSGP documentation built on Dec. 11, 2025, 5:08 p.m.
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| rmnorm_gp2Scale | R Documentation |
Function for the evaluating the SGV approximate density.
Description
dmnorm_gp2Scale (and rmnorm_gp2Scale) calculate the usual Gaussian
likelihood for a fixed set of parameters (but with sparse matrices). Finally,
the distributions must be registered within nimble.
Usage
rmnorm_gp2Scale(n, mean, Cov, N, Nnz)
Arguments
n |
Number of realizations to generate |
mean |
Vector of mean values |
Cov |
Matrix of size N x N; sparse kernel |
N |
Number of measurements in x |
Nnz |
Number of measurements in x |
Value
Not applicable.
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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