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Functional Data Analysis in Rust

fdars is a comprehensive R toolkit for functional data analysis powered by a high-performance Rust backend. Treat entire curves, spectra, and trajectories as single observations — then smooth, align, decompose, and analyze them with a consistent, pipe-friendly API.

Get started Reference

Learn

Get started, preprocess, and simulate functional data.

Introduction
Introduction to fdars
Custom Plotting
Custom Plotting
Smoothing
Introduction to Smoothing
Derivatives
Working with Derivatives
Simulation
Simulation Toolbox
Irregular Sampling
Irregular Sampling

Represent

Decompose, transform, rank, and measure functional data.

FPCA
Functional PCA
Basis Representation
Basis Representation
Andrews Curves
Andrews Curves
Depth Functions
Depth Functions
Streaming Depth
Streaming Depth
Distance Metrics
Distance Metrics

Align

Register and align curves to remove phase variability.

Elastic Alignment
Elastic Alignment
Landmark Registration
Landmark Registration
TSRVF
TSRVF (Tangent Space)
Comparing Methods
Comparing Methods

Regression

Regression, classification, and mixed models for functional data.

Regression
Nonparametric Regression
Functional Regression
Functional Regression
Classification
Classification
Mixed Models
Mixed Models

Analyze

Infer, cluster, detect outliers, and test functional data.

Tolerance Bands
Tolerance Bands
Equivalence Testing
Equivalence Testing
Clustering
Clustering
GMM Clustering
GMM Clustering
Outlier Detection
Outlier Detection
Seasonal Analysis
Seasonal Analysis
Covariance Functions
Covariance Functions