calcQF: Calculate the Gaussian quadratic form for the NNGP...
In BayesNSGP: Bayesian Analysis of Non-Stationary Gaussian Process Models
Description
Usage
Arguments
Value
Description
calcQF calculates the quadratic form in the multivariate Gaussian
based on the NNGP approximation, for a specific parameter combination. The
quadratic form is t(u)C^{-1}v.
Usage
1
calcQF(u, v, AD, nID)
Arguments
u
Vector; left product.
v
Vector; right product
AD
N x (k+1) matrix; the first k columns are the 'A' matrix, and the
last column is the 'D' vector. Represents the Cholesky of C^{-1}.
nID
N x k matrix of neighbor indices.
Value
A list with two components: (1) an N x 2 array containing the
same spatial coordinates, ordered by MMD, and (2) the same thing, but with
any NA values removed.
BayesNSGP documentation built on Jan. 9, 2022, 9:07 a.m.
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Description Usage Arguments Value
Description
calcQF calculates the quadratic form in the multivariate Gaussian
based on the NNGP approximation, for a specific parameter combination. The
quadratic form is t(u)C^{-1}v.
Usage
1 | calcQF(u, v, AD, nID)
|
Arguments
u |
Vector; left product. |
v |
Vector; right product |
AD |
N x (k+1) matrix; the first k columns are the 'A' matrix, and the
last column is the 'D' vector. Represents the Cholesky of |
nID |
N x k matrix of neighbor indices. |
Value
A list with two components: (1) an N x 2 array containing the same spatial coordinates, ordered by MMD, and (2) the same thing, but with any NA values removed.
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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