lazy_cost_spec_inv_cov: Precompute the Mahalanobis inverse covariance matrix for a...
In couplr: Optimal Pairing and Matching via Linear Assignment
View source: R/matching_lazy.R
lazy_cost_spec_inv_cov R Documentation
Precompute the Mahalanobis inverse covariance matrix for a lazy cost spec
Description
Mirrors compute_distance_matrix()'s pooled within-group covariance logic
exactly (R/matching_distance.R) – computed once in R rather than
reimplemented in C++, so the two code paths can't drift apart. A spec whose
rows were reshaped carries the matrix its units defined as inv_cov, and
that is returned as it is.
Usage
lazy_cost_spec_inv_cov(spec)
Value
p x p inverse covariance matrix, or NULL if distance != "mahalanobis".
couplr documentation built on Sept. 17, 2026, 1:08 a.m.
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View source: R/matching_lazy.R
| lazy_cost_spec_inv_cov | R Documentation |
Precompute the Mahalanobis inverse covariance matrix for a lazy cost spec
Description
Mirrors compute_distance_matrix()'s pooled within-group covariance logic
exactly (R/matching_distance.R) – computed once in R rather than
reimplemented in C++, so the two code paths can't drift apart. A spec whose
rows were reshaped carries the matrix its units defined as inv_cov, and
that is returned as it is.
Usage
lazy_cost_spec_inv_cov(spec)
Value
p x p inverse covariance matrix, or NULL if distance != "mahalanobis".
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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