getSplineInfo_d: Construct the spline basis and penalty matrices
In drkowal/dfosr: Dynamic Function-on-Scalars Regression
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, m_eff = NULL, orthonormalize = TRUE)
Arguments
tau
m x d matrix of coordinates, where m is the number of observation points and d is the dimension
m_eff
the effective number of observation points;
(e.g., the median number of observation points when missing observations)
orthonormalize
logical; if TRUE, orthornomalize the basis matrix
Note
The knot locations are selected using a space-filling algorithm.
drkowal/dfosr documentation built on May 7, 2020, 3:09 p.m.
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.
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, m_eff = NULL, orthonormalize = TRUE)
|
Arguments
tau |
|
m_eff |
the effective number of observation points; (e.g., the median number of observation points when missing observations) |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.