Functional Data Analysis Python package

A Python library for Gene–environment interaction analysis via deep learning

BiFuncLib is a Python library for biclustering with functional data.

[ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers

A C++ library for physics-informed spatial and functional data analysis.

Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data

The R wrapper to the fdaPDE library for physics-informed spatial and functional data analysis.

Functional Data Analysis and Utilities for Statistical Computing

Goodness-of-fit tests for functional data analysis. Software companion for "A goodness-of-fit test for the functional linear model with functional response"

Multi-dimensional Functional Principal Component Analysis

R code and dataset for the paper on spatially functional data

Functional Latent datA Models for clusterING heterogeneOus curveS

CRAN Task View: Functional Data Analysis

A repository for functional data

Bayesian Functional Mixed Membership Models

Categorical Functional Data Analysis

Functional Data Analysis Group

R package for Partially Separable Multivariate Functional Data and Functional Graphical Models

This project is to compare our Fisher-Rao registration framework to the Dynamic Time Warping (DTW) to analyze neural signals such as EEG and fMRI where phase variability plays an important role in the data. The code provided here illustrate comparisons with simulation examples.

Software companion for "Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes"

A light-weight repository to compute Amplitude Phase distance between two functions

Easy-to-use collection of statistical methods and techniques, all written in R 🗂

Functional Data Analysis in R and Rust - High-performance FDA algorithms including depth measures, metrics, clustering, smoothing, and regression

One-Dimensional Random Field Theory in Python

Arias-López JA, Cadarso-Suárez C, Aguiar-Fernández P. Functional Data Analysis for Imaging Mean Function Estimation: Computing Times and Parameter Selection. Computers. 2022; 11(6):91.

Bachelor's thesis: Functional data analysis: interpolation, registration, and nearest neighbors in scikit-fda

Auxiliary functions for calculating Simultaneous Confidence Corridors (SCCs) on PET neuroimaging data.

MATLAB implementation of Smooth Manifold FPCA (SM-FPCA)

Arias-López, J. A., Cadarso-Suárez, C., & Aguiar-Fernández, P. (Under review). Simultaneous Confidence Corridors in neuroimage data analysis: applications for Alzheimer's Disease diagnosis.

Bayesian nonparametric clustering of functional data.