calc_omega_norm: Calulate basis function normalizing constant
In jtipton25/BayesMRA: Bayesian Multi-Resolution Gaussian Process Approximations
View source: R/normalize-basis.R
calc_omega_norm R Documentation
Calulate basis function normalizing constant
Description
Calculate the basis function normalizing constant so that all basis functions have the same marginal variance
Usage
calc_omega_norm(W, Q_inv)
Arguments
W
The sparse basis function matrix
Q_inv
The inverse of the sparse precision matrix
Value
A set of normalizing weights for the basis functions
jtipton25/BayesMRA documentation built on Feb. 28, 2024, 1:27 p.m.
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View source: R/normalize-basis.R
| calc_omega_norm | R Documentation |
Calulate basis function normalizing constant
Description
Calculate the basis function normalizing constant so that all basis functions have the same marginal variance
Usage
calc_omega_norm(W, Q_inv)
Arguments
W |
The sparse basis function matrix |
Q_inv |
The inverse of the sparse precision matrix |
Value
A set of normalizing weights for the basis functions
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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