funbootband: Simultaneous Prediction and Confidence Bands for Functional Data
Computes simultaneous prediction and confidence bands for densely sampled functional data on a common grid. The calibration builds on the functional bootstrap approach of Lenhoff et al. (1999) <doi:10.1016/S0966-6362(98)00043-5>; hierarchical measurement designs are motivated by Koska et al. (2023) <doi:10.1016/j.jbiomech.2023.111506>. Independent curves are resampled individually. Clustered data use an intact-subject bootstrap with equal subject weighting, and the clustered prediction target is one future curve from a new subject. Curves are represented by finite Fourier series, and an 'Rcpp' backend performs the bootstrap calibration.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.5) |
| Imports: | Rcpp, stats |
| LinkingTo: | Rcpp |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-09-18 |
| 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 Functional Data (source, R code) |
Downloads:
| Package source: | funbootband_0.3.0.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 |
| Old sources: | funbootband archive |
Linking:
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