blocklength: Select an Optimal Block-Length to Bootstrap Dependent Data
(Block Bootstrap)
A set of functions to select the optimal block-length for a
dependent bootstrap (block-bootstrap). Includes the Hall, Horowitz, and Jing
(1995) <doi:10.1093/biomet/82.3.561> subsampling-based cross-validation method, the
Politis and White (2004) <doi:10.1081/ETC-120028836> Spectral Density
Plug-in method, including the Patton, Politis, and White (2009)
<doi:10.1080/07474930802459016> correction, and the Lahiri, Furukawa, and Lee
(2007) <doi:10.1016/j.stamet.2006.08.002> nonparametric plug-in method, with
a corresponding set of S3 plot methods.
Version: |
0.2.2 |
Imports: |
tseries, stats |
Suggests: |
testthat, covr, parallel, knitr, rmarkdown |
Published: |
2025-03-08 |
DOI: |
10.32614/CRAN.package.blocklength |
Author: |
Alec Stashevsky
[aut, cre],
Sergio Armella [ctb] |
Maintainer: |
Alec Stashevsky <alec at alecstashevsky.com> |
BugReports: |
https://github.com/Alec-Stashevsky/blocklength/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://alecstashevsky.com/r/blocklength,
https://github.com/Alec-Stashevsky/blocklength,
https://alec-stashevsky.github.io/blocklength/ |
NeedsCompilation: |
no |
Materials: |
README, NEWS |
In views: |
TimeSeries |
CRAN checks: |
blocklength results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=blocklength
to link to this page.