Package: funbootband
Title: Simultaneous Prediction and Confidence Bands for Time Series
        Data
Version: 0.2.0
Authors@R: 
    person("Daniel", "Koska", 
           email = "dkoska@proton.me", 
           role = c("aut", "cre", "cph"), 
           comment = c(ORCID = "0000-0002-8245-5222"))
Description: 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.
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
RoxygenNote: 7.3.3
SystemRequirements: C++17
Config/testthat/edition: 3
ByteCompile: true
NeedsCompilation: yes
Packaged: 2025-10-14 13:25:59 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: 2025-10-20 09:20:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 18:37:05 UTC; unix
Archs: funbootband.so.dSYM
