fastFMM
1.0.1Fast Functional Mixed Models using Fast Univariate Inference
Overview
Implementation of the fast univariate inference approach (Cui et al. (2022) doi:10.1080/10618600.2021.1950006, Loewinger et al. (2024) doi:10.7554/eLife.95802.2, Xin et al. (2025) doi:10.7554/eLife.109428.1) for fitting functional mixed models. User guides and Python package information can be found at https://github.com/gloewing/photometry_FLMM.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 16%
Downloads
Repository
Stars over time
Forks over time
Releases over time
Issues over time
Repository practices
6 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/awqx/fastfmm on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 4.0 median / 29 max
Test coverage
Line coverage
0%
Expression
0.0%
Tests / Examples
0.0% / 42% ex
Functions
37 10 exported
Complexity
6.9 avg / 29 max
Call network
37 nodes / 31 edges
Call graph
Open call graph →Lowest coverage
37 functions| Function | Cyclo | Coverage |
|---|---|---|
| G_estimate exp | 1 | 0% |
| G_estimate_randint exp | 5 | 0% |
| G_generate exp | 1 | 0% |
| fui exp | 25 | 0% |
| massmm exp | 1 | 0% |
| new_fastFMM exp | 7 | 0% |
Datasets
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-11-14
- Total releases
- 6 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 1.9 MB / 2 files
- Download size
- 2.0 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet