constraints_utils: Utilities for constraints
In genpca: Generalized Principal Component Analysis
constraints_utils R Documentation
Utilities for constraints
Description
Helpers to validate, symmetrize and (only when asked) repair
constraint matrices. Two relative tolerances are used throughout the
package: metric_rtol (default sqrt(.Machine$double.eps)) decides
whether a metric is positive (semi)definite and which of its eigenvalues
count as zero, and rank_rtol (see genpca()) decides which components
are kept. Both are relative to the scale of the matrix, so every decision
is invariant to rescaling the input.
genpca documentation built on Sept. 17, 2026, 1:09 a.m.
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| constraints_utils | R Documentation |
Utilities for constraints
Description
Helpers to validate, symmetrize and (only when asked) repair
constraint matrices. Two relative tolerances are used throughout the
package: metric_rtol (default sqrt(.Machine$double.eps)) decides
whether a metric is positive (semi)definite and which of its eigenvalues
count as zero, and rank_rtol (see genpca()) decides which components
are kept. Both are relative to the scale of the matrix, so every decision
is invariant to rescaling the input.
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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