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: |
0.3.3 |
| 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: |
2024-03-28 |
| 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 |
| CRAN checks: |
tf results |
Documentation:
Downloads:
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