eBsc: "Empirical Bayes Smoothing Splines with Correlated Errors"
Presents a statistical method that uses a recursive algorithm for signal extraction. The method handles a non-parametric estimation for the correlation of the errors. See "Krivobokova", "Serra", "Rosales" and "Klockmann" (2021) <doi:10.48550/arXiv.1812.06948> for details.
| Version: | 4.17 |
| Imports: | Brobdingnag, parallel,nlme,Matrix,MASS, splines,Rcpp,mvtnorm |
| LinkingTo: | Rcpp,RcppArmadillo |
| Published: | 2023-05-23 |
| DOI: | 10.32614/CRAN.package.eBsc |
| Author: | Francisco Rosales, Tatyana Krivobokova, Paulo Serra. |
| Maintainer: | Francisco Rosales <francisco.rosales-marticorena at protonmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | eBsc results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=eBscto link to this page.