dot-compute_dist_block: Compute Euclidean distance matrix for a cluster block
In lgspline: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation
.compute_dist_block R Documentation
Compute Euclidean distance matrix for a cluster block
Description
Returns pairwise Euclidean distances within the cluster indexed by
inds. When spacetime has multiple columns, squared distances
are averaged across dimensions before taking the square root.
Usage
.compute_dist_block(spacetime, inds)
lgspline documentation built on May 8, 2026, 5:07 p.m.
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| .compute_dist_block | R Documentation |
Compute Euclidean distance matrix for a cluster block
Description
Returns pairwise Euclidean distances within the cluster indexed by
inds. When spacetime has multiple columns, squared distances
are averaged across dimensions before taking the square root.
Usage
.compute_dist_block(spacetime, inds)
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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