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:

Reference manual:

eBsc.pdf

Downloads:

Package source:	eBsc_4.17.tar.gz
Windows binaries:	r-devel: eBsc_4.17.zip, r-release: eBsc_4.17.zip, r-oldrel: eBsc_4.17.zip
macOS binaries:	r-release (arm64): eBsc_4.17.tgz, r-oldrel (arm64): eBsc_4.17.tgz, r-release (x86_64): eBsc_4.17.tgz, r-oldrel (x86_64): eBsc_4.17.tgz
Old sources:	eBsc archive

Reverse dependencies:

Reverse depends:

sephora

Linking:

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