Package: funbootband
Title: Simultaneous Prediction and Confidence Bands for Functional Data
Version: 0.3.0
Authors@R: 
    person("Daniel", "Koska", 
           email = "dkoska@proton.me", 
           role = c("aut", "cre", "cph"), 
           comment = c(ORCID = "0000-0002-8245-5222"))
Description: 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.
License: GPL-3
URL: https://github.com/koda86/funbootband-cran
BugReports: https://github.com/koda86/funbootband-cran/issues
Depends: R (>= 3.5)
Imports: Rcpp, stats
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
Config/testthat/edition: 3
ByteCompile: true
Config/roxygen2/version: 8.1.0
NeedsCompilation: yes
Packaged: 2026-09-18 12:48:16 UTC; daniel
Author: Daniel Koska [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-8245-5222>)
Maintainer: Daniel Koska <dkoska@proton.me>
Repository: CRAN
Date/Publication: 2026-09-18 14:30:08 UTC
