getSplineInfo_d: Construct the spline basis and penalty matrices
In drkowal/FDLM: A Bayesian Multivariate Functional Dynamic Linear Model
Description
Usage
Arguments
Note
View source: R/helper_functions.R
Description
Given input points in d dimensions, construct a low-rank thin plate spline basis matrix
and penalty matrix.
Usage
1
getSplineInfo_d(tau, num.knots = NULL, orthonormalize = TRUE)
Arguments
tau
m x d matrix of coordinates, where m is the number of observation points and d is the dimension
num.knots
the number of knots to include
orthonormalize
logical; if TRUE, orthornomalize the basis matrix
Note
The knot locations are selected using a space-filling algorithm.
drkowal/FDLM documentation built on May 20, 2019, 5:20 p.m.
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Description Usage Arguments Note
View source: R/helper_functions.R
Description
Given input points in d dimensions, construct a low-rank thin plate spline basis matrix
and penalty matrix.
Usage
1 | getSplineInfo_d(tau, num.knots = NULL, orthonormalize = TRUE)
|
Arguments
tau |
|
num.knots |
the number of knots to include |
orthonormalize |
logical; if TRUE, orthornomalize the basis matrix |
Note
The knot locations are selected using a space-filling algorithm.
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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