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CRAN: Package tf

tf: S3 Classes and Methods for Tidy Functional Data

Defines S3 vector data types for vectors of functional data (grid-based, spline-based or functional principal components-based) with all arithmetic and summary methods, derivation, integration and smoothing, plotting, data import and export, and data wrangling, such as re-evaluating, subsetting, sub-assigning, zooming into sub-domains, or extracting functional features like minima/maxima and their locations. The implementation allows including such vectors in data frames for joint analysis of functional and scalar variables.

Version: 0.3.4 Depends: R (≥ 4.1) Imports: checkmate, methods, mgcv, mvtnorm, pracma, purrr, rlang, stats, vctrs (≥ 0.2.4), zoo Suggests: covr, dplyr, knitr, refund, testthat (≥ 3.0.0) Published: 2024-05-22 DOI: 10.32614/CRAN.package.tf Author: Fabian Scheipl [aut, cre], Jeff Goldsmith [aut], Julia Wrobel [ctb], Maximilian Muecke [ctb], Sebastian Fischer [ctb], Trevor Hastie [ctb] (softImpute author), Rahul Mazumder [ctb] (softImpute author), Chen Meng [ctb] (mogsa author) Maintainer: Fabian Scheipl <fabian.scheipl at googlemail.com> BugReports: https://github.com/tidyfun/tf/issues License: AGPL (≥ 3) URL: https://tidyfun.github.io/tf/, https://github.com/tidyfun/tf/ NeedsCompilation: no Materials: README, NEWS In views: FunctionalData CRAN checks: tf results Documentation: Downloads: Reverse dependencies: Linking:

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