Mixed Effects Modeling with Warping for Functional Data Using B-Spline
Overview
Mixed effects modeling with warping for functional data using B- spline. Warping coefficients are considered as random effects, and warping functions are general functions, parameters representing the projection onto B- spline basis of a part of the warping functions. Warped data are modelled by a linear mixed effect functional model, the noise is Gaussian and independent from the warping functions.
Install
Health
CRAN check results are not tracked yet.
- NOTE7 OK, 7 NOTE2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
People & History
Maintainer since 0.1.0 (2017)
- archivedRemoved from CRAN2026-04-27email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 0.1.02017-02-15
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2017-02-15
- Total releases
- 1 / 9 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.3.2
- Download size
- 7.0 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("warpMix")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.