library(DDK)
#>
#> Attaching package: 'DDK'
#> The following object is masked from 'package:base':
#>
#> splitThis is an R implementation for the data driven orthogonal basis selection for functional data analysis paper. For more detaiils see the arxiv link
In this work, we propose machine learning style techniques for the placement of the knots. The chosen knots are used to build orthogonal splines basis functions \(f_k(t), k=1,...,K\) that are used in basis function expansion to convert the data from discrete recorded data into a functional one. The method address the problem of the choice of the initial functional basis selection for functional data analysis.
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("ranibasna/ddk")