dot-compute_Xy_V: Compute Partitioned GLS Cross-Products
In lgspline: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation
.compute_Xy_V R Documentation
Compute Partitioned GLS Cross-Products
Description
Computes \mathbf{X}_k^{\top}\mathbf{V}^{-1}\mathbf{y} for each
partition, accounting for cross-partition contributions from the
correlation structure.
Usage
.compute_Xy_V(X, y, VhalfInv_perm, K, p_expansions, order_list)
Arguments
X
List of partition-specific design matrices.
y
List of response vectors by partition.
VhalfInv_perm
\mathbf{V}^{-1/2} permuted to partition
ordering.
K, p_expansions
Integer dimensions.
order_list
Partition-to-data index mapping (unused here but
retained for interface consistency).
Value
A list of K+1 column vectors, each
p\_expansions \times 1.
lgspline documentation built on Aug. 5, 2026, 1:10 a.m.
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| .compute_Xy_V | R Documentation |
Compute Partitioned GLS Cross-Products
Description
Computes \mathbf{X}_k^{\top}\mathbf{V}^{-1}\mathbf{y} for each
partition, accounting for cross-partition contributions from the
correlation structure.
Usage
.compute_Xy_V(X, y, VhalfInv_perm, K, p_expansions, order_list)
Arguments
X |
List of partition-specific design matrices. |
y |
List of response vectors by partition. |
VhalfInv_perm |
|
K, p_expansions |
Integer dimensions. |
order_list |
Partition-to-data index mapping (unused here but retained for interface consistency). |
Value
A list of K+1 column vectors, each
p\_expansions \times 1.
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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