Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data
Overview
Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.
changes
- fix Rd cross-references
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 50%1 run in a plain check · 1 never run
- Exported functions with examples
- 50%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 83%
Downloads
Dependencies
Installing sparseFLMM adds 52 packages (31 with compiled code, 50 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, lme4 4.1 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.4.2Latest
- 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
- 0.4.12021-06-19 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.4.02021-01-17 · diff ↗
- unarchivedReturned to CRAN2020-09-11
- 0.3.12020-09-11 · diff ↗
- archivedRemoved from CRAN2020-08-26requires archived package 'refund'
- RR 4.0.0 released · 2020-04-24
- 0.3.02019-10-02 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2017-01-14
- Total releases
- 9 / 9 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.3
- Bundled data
- 215 KB / 2 files
- Download size
- 261 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("sparseFLMM")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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