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eBsc  

"Empirical Bayes Smoothing Splines with Correlated Errors"
View on CRAN: Click here


Download and install eBsc package within the R console
Install from CRAN:
install.packages("eBsc")

Install from Github:
library("remotes")
install_github("cran/eBsc")

Install by package version:
library("remotes")
install_version("eBsc", "4.17")



Attach the package and use:
library("eBsc")
Maintained by
Francisco Rosales
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-06
Latest Update: 2023-05-23
Description:
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) for details.
How to cite:
Francisco Rosales (2020). eBsc: "Empirical Bayes Smoothing Splines with Correlated Errors". R package version 4.17, https://cran.r-project.org/web/packages/eBsc
Previous versions and publish date:
4.9 (2020-07-06 17:40), 4.11 (2020-09-01 10:40), 4.12 (2020-11-24 12:30), 4.13 (2021-01-11 07:50), 4.14 (2022-04-25 09:30), 4.15 (2022-05-01 16:30), 4.16 (2023-04-27 04:22)
Other packages that cited eBsc R package
View eBsc citation profile
Other R packages that eBsc depends, imports, suggests or enhances
Functions, R codes and Examples using the eBsc R package
Some associated functions: drbasis . eBsc-internal . eBsc-package . eBsc . plot.eBsc . rcpparma_hello_world . summary.eBsc . 
Some associated R codes: EBCparallel.R . EBCq.R . Elambda.R . Eq.R . RcppExports.R . eBsc.R . eBsc.default.R . get_lambda.R . get_q.R . globals.R . lmm.R . mycorMatrix.R . plot.eBsc.R . print.eBsc.R . smoothrhos.R . summary.eBsc.R .  Full eBsc package functions and examples
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