registr
2.2.1Curve Registration for Exponential Family Functional Data
Overview
A method for performing joint registration and functional principal component analysis for curves (functional data) that are generated from exponential family distributions. This mainly implements the algorithms described in 'Wrobel et al. (2019)' doi:10.1111/biom.12963 and further adapts them to potentially incomplete curves where (some) curves are not observed from the beginning and/or until the end of the common domain. Curve registration can be used to better understand patterns in functional data by separating curves into phase and amplitude variability. This software handles both binary and continuous functional data, and is especially applicable in accelerometry and wearable technology.
Install
Health
- OK2026-07-2113 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-07-0810 OK · 0 NOTE · 0 WARNING · 3 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2211 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1810 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 91%
- Return-value docs
- 100%
- References docs
- 13%
Downloads
Dependencies
Code & Tests
- Cyclomatic complexity
- 3.0 median / 38 max
- Test cases
- 62 / 0.26 per code line
- System requirements
- 1 external
Test coverage
Line coverage
92%
Expression
89.2%
Tests / Examples
91.9% / 71% ex
Functions
48 12 exported
Complexity
8.3 avg / 38 max
Call network
48 nodes / 40 edges
Call graph
Open call graph →Lowest coverage
48 functions| Function | Cyclo | Coverage |
|---|---|---|
| amp_curve | 2 | 44% |
| mean_curve | 2 | 44% |
| fpca_gauss_argPreparation | 9 | 56% |
| bfpca_argPreparation | 9 | 57% |
| ensure_proper_beta | 5 | 82% |
| registr exp | 6 | 83% |
Datasets
| Name | Class | Rows × Cols | Also ships in |
|---|---|---|---|
| growth_incomplete | data.frame | 1,759 × 3 | – |
| nhanes | data.frame | 72,000 × 6 | – |
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.2.1Latest
- unarchivedReturned to CRAN2026-02-17
- archivedRemoved from CRAN2025-11-27issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 2.1.02022-10-02 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.02020-03-16
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-03-16
- Total releases
- 3 / 6 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.2
- Bundled data
- 120 KB / 2 files
- Download size
- 1.5 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet