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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 |
| Reference manual: | eBsc.pdf |
| 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 depends: | sephora |
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