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sparseFLMM

0.4.2Package record

Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data

4packages depend
6.6Kdownloads / year
9.1%test coverage
13/13flavors OK

Overview

About

Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.

Changes in 0.4.2

changes

  • fix Rd cross-references

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.4.2
READMENoVignettesNoNEWSYes · 100% structured · mentions 0.4.2Citation fileNoWebsitenot declared in DESCRIPTION
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

6.6K
CRAN downloads in the past year
Rank #6,340 · ~18/day · ~554/mo
Daily download trend is not available in this view yet.
52530 days
1.3K90 days
6.6K1 year
Compare downloads with other packages →
Also on113 r2u2 autocran124 c2d4u

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

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.

Depends (3)
R >= 3.3mgcvrefund
Imports (5)
methodsparallelMASSMatrixdata.table
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
4direct
3indirect
Imports 4
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2017)
Author · added in 0.4.0
Author · added in 0.4.0
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4.2Latest
    record
    2025-04-16 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.4.1
    record
    2021-06-19 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.4.0
    record
    2021-01-17 · diff ↗
  • unarchivedReturned to CRAN
    2020-09-11
  • 0.3.1
    record
    2020-09-11 · diff ↗
  • archivedRemoved from CRAN
    2020-08-26
    requires archived package 'refund'
  • R
    R 4.0.0 released · 2020-04-24
  • 0.3.0
    record
    2019-10-02 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
Show 6 earlier eventsHide 6 earlier events

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
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sparseFLMM")
Cederbaum, J., Stöcker, A., & Volkmann, A. (2025). sparseFLMM: Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data (Version 0.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.sparseFLMM

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for sparseFLMM version 0.4.2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

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.

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