Package: eBsc 4.17
Francisco Rosales
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) <arxiv:1812.06948> for details.
Authors:
eBsc_4.17.tar.gz
eBsc_4.17.tar.gz(r-4.5-noble)eBsc_4.17.tar.gz(r-4.4-noble)
eBsc_4.17.tgz(r-4.4-emscripten)eBsc_4.17.tgz(r-4.3-emscripten)
eBsc.pdf |eBsc.html✨
eBsc/json (API)
| # Install 'eBsc' in R: |
| install.packages('eBsc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:bb5decbc9b. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-linux-x86_64 | OK | Nov 12 2024 |
Exports:drbasisEBCparallelEBCqeBscplot.eBscprint.eBscrcpparma_innerproductrcpparma_outerproductsummary.eBsc
Dependencies:BrobdingnaglatticeMASSMatrixmvtnormnlmeRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Empirical Bayes Smoothing Splines with Correlated Errors | eBsc-package |
| Computation of the Demmler-Reinsch basis. | drbasis |
| Empirical Bayes Smoothing Splines with Correlated Errors | eBsc |
| Plot fitted components | plot.eBsc |
| Set of functions in example RcppArmadillo package | rcpparma_bothproducts rcpparma_hello_world rcpparma_innerproduct rcpparma_outerproduct |
| eBsc Summary | summary.eBsc |
