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 "Serra", "Krivobokova" and "Rosales" (2018) <arXiv:1812.06948> for details.

Version: 4.13
Imports: Brobdingnag, parallel, nlme, Matrix, MASS, splines, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2021-01-11
Author: Francisco Rosales, Tatyana Krivobokova, Paulo Serra.
Maintainer: John Barrera <johnkevinbarrera at gmail.com>
License: GPL-2
NeedsCompilation: yes
CRAN checks: eBsc results

Downloads:

Reference manual: eBsc.pdf
Package source: eBsc_4.13.tar.gz
Windows binaries: r-devel: eBsc_4.13.zip, r-devel-UCRT: eBsc_4.13.zip, r-release: eBsc_4.13.zip, r-oldrel: eBsc_4.13.zip
macOS binaries: r-release (arm64): eBsc_4.13.tgz, r-release (x86_64): eBsc_4.13.tgz, r-oldrel: eBsc_4.13.tgz
Old sources: eBsc archive

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