fdars: Functional Data Analysis in 'Rust'

Functional data analysis tools with a high-performance 'Rust' backend. Provides methods for functional data manipulation, depth computation, distance metrics, regression, and statistical testing. Supports both 1D functional data (curves) and 2D functional data (surfaces). Methods are described in Ramsay and Silverman (2005, ISBN:978-0-387-40080-8) "Functional Data Analysis" and Ferraty and Vieu (2006, ISBN:978-0-387-30369-7) "Nonparametric Functional Data Analysis".

Version:	0.3.3
Imports:	methods, ggplot2
Suggests:	testthat (≥ 3.0.0), fda.usc, fda, knitr, rmarkdown, dplyr, tidyr, ggforce, gridExtra, patchwork
Published:	2026-03-05
DOI:	10.32614/CRAN.package.fdars (may not be active yet)
Author:	Simon Müller [aut, cre]
Maintainer:	Simon Müller <simon.mueller at muon-stat.com>
BugReports:	https://github.com/sipemu/fdars-r/issues
License:	MIT + file LICENSE
URL:	https://sipemu.github.io/fdars-r/, https://github.com/sipemu/fdars-r
NeedsCompilation:	yes
SystemRequirements:	Cargo (Rust's package manager), rustc
Materials:	README, NEWS
CRAN checks:	fdars results

Documentation:

Reference manual:	fdars.html , fdars.pdf
Vignettes:	Functional Depth Functions (source, R code) Introduction to fdars (source, R code)

Downloads:

Package source:	fdars_0.3.3.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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