fdapace
0.6.0Functional Data Analysis and Empirical Dynamics
Overview
A versatile package that provides implementation of various methods of Functional Data Analysis (FDA) and Empirical Dynamics. The core of this package is Functional Principal Component Analysis (FPCA), a key technique for functional data analysis, for sparsely or densely sampled random trajectories and time courses, via the Principal Analysis by Conditional Estimation (PACE) algorithm. This core algorithm yields covariance and mean functions, eigenfunctions and principal component (scores), for both functional data and derivatives, for both dense (functional) and sparse (longitudinal) sampling designs. For sparse designs, it provides fitted continuous trajectories with confidence bands, even for subjects with very few longitudinal observations. PACE is a viable and flexible alternative to random effects modeling of longitudinal data. There is also a Matlab version (PACE) that contains some methods not available on fdapace and vice versa. Updates to fdapace were supported by grants from NIH Echo and NSF DMS-1712864 and DMS-2014626. Please cite our package if you use it (You may run the command citation("fdapace") to get the citation format and bibtex entry). References: Wang, J.L., Chiou, J., Müller, H.G. (2016) doi:10.1146/annurev-statistics-041715-033624; Chen, K., Zhang, X., Petersen, A., Müller, H.G. (2017) doi:10.1007/s12561-015-9137-5.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
- NOTE2026-04-2212 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 88%
- Documented parameters
- 96%
- Return-value docs
- 72%
- References docs
- 41%
Downloads
Repository
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3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/functionaldata/tpace on 2026-08-16.
Dependencies
Code & Tests
Datasets
People & History
18 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.6.0Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.5.92022-08-16 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.5.82021-11-22 · diff ↗
- 0.5.72021-05-24 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.5.62021-01-11 · diff ↗
- 0.5.52020-07-29 · diff ↗
- 0.5.42020-06-19 · diff ↗
- 0.5.32020-05-15 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.5.22020-02-15 · diff ↗
Show 14 earlier events
- 0.5.12019-09-27 · diff ↗
- 0.5.02019-08-31 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.4.12019-03-19 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.4.02018-02-25 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.3.02017-01-25 · diff ↗
- 0.2.52016-07-15 · diff ↗
- 0.2.02016-06-18 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 0.1.12016-03-15 · diff ↗
- 0.1.02016-03-13
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2016-03-13
- Total releases
- 18 / 10 yrs
- License
- BSD_3_clause + file LICENSE OSI
- Bundled data
- 23 KB / 1 file
- Download size
- 944 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("fdapace")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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