maxbootR: Efficient Bootstrap Methods for Block Maxima

Implements state-of-the-art block bootstrap methods for extreme value statistics based on block maxima. Includes disjoint blocks, sliding blocks, relying on a circular transformation of blocks. Fast C++ backends (via 'Rcpp') ensure scalability for large time series.

Version:	1.0.0
Depends:	R (≥ 2.10)
Imports:	Rcpp, evd
LinkingTo:	Rcpp
Suggests:	testthat (≥ 3.0.0), covr, knitr, rmarkdown, ggplot2, dplyr, lubridate, tidyr
Published:	2025-04-17
DOI:	10.32614/CRAN.package.maxbootR
Author:	Torben Staud [aut, cre, cph]
Maintainer:	Torben Staud <torben.staud at gmail.com>
BugReports:	https://github.com/torbenstaud/maxbootR/issues
License:	GPL (≥ 3)
URL:	https://torbenstaud.github.io/maxbootR/, https://github.com/torbenstaud/maxbootR
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	maxbootR results

Documentation:

Reference manual:	maxbootR.pdf
Vignettes:	maxbootR-intro (source, R code)

Downloads:

Package source:	maxbootR_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): maxbootR_1.0.0.tgz, r-oldrel (arm64): maxbootR_1.0.0.tgz, r-release (x86_64): maxbootR_1.0.0.tgz, r-oldrel (x86_64): maxbootR_1.0.0.tgz

Linking:

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