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.

Package details

AuthorFabian Scheipl [aut, cre] (<https://orcid.org/0000-0001-8172-3603>), Jeff Goldsmith [aut], Julia Wrobel [ctb] (<https://orcid.org/0000-0001-6783-1421>), Maximilian Muecke [ctb] (<https://orcid.org/0009-0000-9432-9795>), Sebastian Fischer [ctb] (<https://orcid.org/0000-0002-9609-3197>), Trevor Hastie [ctb] (softImpute author), Rahul Mazumder [ctb] (softImpute author), Chen Meng [ctb] (mogsa author)
MaintainerFabian Scheipl <fabian.scheipl@googlemail.com>
LicenseAGPL (>= 3)
Version0.3.4
URL https://tidyfun.github.io/tf/ https://github.com/tidyfun/tf/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("tf")

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tf documentation built on May 29, 2024, 5:28 a.m.