B_basis: Spline Basis Functions
In lddmm: Longitudinal Drift-Diffusion Mixed Models (LDDMM)
B_basis R Documentation
Spline Basis Functions
Description
Quadratic B-spline basis on equally spaced knots (supplement §S.1), evaluated
on a grid. Points outside [min(knots), max(knots)] get a row of zeros.
Usage
B_basis(xgrid, knots)
Arguments
xgrid
grid where we want to evaluate the spline functions (vector of length n)
knots
vector of equally spaced knots for the splines (vector of length K)
Value
n x (K+1) matrix with the value of each basis function on xgrid.
At a knot, exactly two adjacent basis functions are non-zero, both equal to 1/2.
lddmm documentation built on Oct. 23, 2026, 5:07 p.m.
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| B_basis | R Documentation |
Spline Basis Functions
Description
Quadratic B-spline basis on equally spaced knots (supplement §S.1), evaluated
on a grid. Points outside [min(knots), max(knots)] get a row of zeros.
Usage
B_basis(xgrid, knots)
Arguments
xgrid |
grid where we want to evaluate the spline functions (vector of length n) |
knots |
vector of equally spaced knots for the splines (vector of length K) |
Value
n x (K+1) matrix with the value of each basis function on xgrid.
At a knot, exactly two adjacent basis functions are non-zero, both equal to 1/2.
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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