dot-constraint_col_scales: Compute Stable Column Rescaling for Constraint Matrices
In lgspline: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation
.constraint_col_scales R Documentation
Compute Stable Column Rescaling for Constraint Matrices
Description
Returns multiplicative column scales that normalize nonzero columns to
unit Euclidean norm. This preserves column spaces and projections while
improving numerical conditioning for QR / OLS steps.
Usage
.constraint_col_scales(X, eps = sqrt(.Machine$double.eps))
Arguments
X
Numeric matrix.
eps
Small positive threshold below which a column is treated as
numerically zero.
Value
Numeric vector of length ncol(X) containing multiplicative
scales.
lgspline documentation built on Aug. 5, 2026, 1:10 a.m.
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| .constraint_col_scales | R Documentation |
Compute Stable Column Rescaling for Constraint Matrices
Description
Returns multiplicative column scales that normalize nonzero columns to unit Euclidean norm. This preserves column spaces and projections while improving numerical conditioning for QR / OLS steps.
Usage
.constraint_col_scales(X, eps = sqrt(.Machine$double.eps))
Arguments
X |
Numeric matrix. |
eps |
Small positive threshold below which a column is treated as numerically zero. |
Value
Numeric vector of length ncol(X) containing multiplicative
scales.
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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