funbootband: Simultaneous Prediction and Confidence Bands for Time Series Data
Provides methods to compute simultaneous prediction and confidence bands for dense time series data. The implementation builds on the functional bootstrap approach proposed by Lenhoff et al. (1999) <doi:10.1016/S0966-6362(98)00043-5> and extended by Koska et al. (2023) <doi:10.1016/j.jbiomech.2023.111506> to support both independent and clustered (hierarchical) data. Includes a simple API (see band()) and an 'Rcpp' backend for performance.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.5) |
| Imports: | Rcpp, stats |
| LinkingTo: | Rcpp |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2025-10-20 |
| DOI: | 10.32614/CRAN.package.funbootband |
| Author: | Daniel Koska 
[aut, cre, cph] |
| Maintainer: | Daniel Koska <dkoska at proton.me> |
| BugReports: | https://github.com/koda86/funbootband-cran/issues |
| License: | GPL-3 |
| URL: | https://github.com/koda86/funbootband-cran |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| Materials: | README, NEWS |
| CRAN checks: | funbootband results |
Documentation:
| Reference manual: | funbootband.html , funbootband.pdf |
| Vignettes: |
funbootband: Simultaneous Prediction and Confidence Bands for Time Series Data (source, R code) |
Downloads:
| Package source: | funbootband_0.2.0.tar.gz |
| Windows binaries: | r-devel: funbootband_0.2.0.zip, r-release: funbootband_0.2.0.zip, r-oldrel: funbootband_0.2.0.zip |
| macOS binaries: | r-release (arm64): funbootband_0.2.0.tgz, r-oldrel (arm64): funbootband_0.2.0.tgz, r-release (x86_64): funbootband_0.2.0.tgz, r-oldrel (x86_64): funbootband_0.2.0.tgz |
Linking:
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