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Singular Linear Models for Longitudinal Data

0packages depend
3.1Kdownloads / year
28.5%test coverage
13/13flavors OK

Overview

About

Fits singular linear models to longitudinal data. Singular linear models are useful when the number, or timing, of longitudinal observations may be informative about the observations themselves. They are described in Farewell (2010) doi:10.1093/biomet/asp068, and are extensions of the linear increments model doi:10.1111/j.1467-9876.2007.00590.x to general longitudinal data.

Changes in 0.1.3

Now Imports data.table, rather than Depends on it.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.3 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-30
  • NOTE13 NOTE2026-06-09
  • ERROR12 NOTE, 1 ERROR2026-06-08
  • NOTE12 NOTE2026-04-25
  • ERROR13 NOTE, 1 ERROR2026-03-30
Show 1 earlier changeHide 1 earlier change
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.3
READMEYes · 32 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structured · mentions 0.1.3Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
14 (1 internal)includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
7%

Downloads

3.1K
CRAN downloads in the past year
Rank #12,536 · ~8/day · ~255/mo
Daily download trend is not available in this view yet.
29930 days
89890 days
3.1K1 year
Compare downloads with other packages →
Also on103 r2u4 autocran1.3K conda_forge

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing slim adds 1 package (1 with compiled code, 5.7 MB of source tarballs). Heaviest: data.table 5.7 MB.

Depends (1)
R >= 3.2.0
Imports (3)
data.tablestatsMASS
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2016)
Releases (4)

Pick two releases to compare their code metrics.

  • 0.1.3Latest
    record
    2026-08-24 · current release · diff ↗
  • 0.1.2
    record
    2026-08-23 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 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
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.1
    record
    2017-05-15 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.0
    record
    2016-11-07
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-11-07
Total releases
4 / 10 yrs
License
GPL-3 OSI
Minimum R
≥ 3.2.0
Bundled data
7.0 KB / 2 files
Download size
296 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("slim")
Farewell, D. (2026). slim: Singular Linear Models for Longitudinal Data (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.slim

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 slim version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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