Select an Optimal Block-Length to Bootstrap Dependent Data (Block Bootstrap) R package blocklength version 0.2.2 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) 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. Software Imports: tseries, stats Suggests: testthat, covr, parallel, knitr, rmarkdown Alec Stashevsky <alec@alecstashevsky.com> Comprehensive R Archive Network (CRAN) Alec Stashevsky [aut, cre] (ORCID: <https://orcid.org/0000-0003-2538-4947>), Sergio Armella [ctb] GPL (>= 2) 2025-03-08 application/tgz https://CRAN.R-project.org/package=blocklength doi:10.32614/CRAN.package.blocklength