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slim

0.1.1

Singular Linear Models for Longitudinal Data

1packages depend
2.8Kdownloads / year
28.5%test coverage
0/13checks pass

Overview

About
Maintained by Daniel FarewellFirst published 2016-11-072 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13NOTE
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
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  • NOTE r-devel-windows-x86_64
  • NOTE r-oldrel-macos-arm64
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  • NOTE r-patched-linux-x86_64
  • NOTE r-release-linux-x86_64
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  • NOTE r-release-macos-x86_64
  • NOTE r-release-windows-x86_64
Slowest check: 1.8 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.07
28.5%
Coverage · measured lines
100%
Documentation · exports
3
Dependencies · direct
Check history
  • NOTE2026-06-09
    0 OK · 13 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    0 OK · 12 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-04-25
    0 OK · 12 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-30
    0 OK · 13 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
7%

Downloads

2.8K
CRAN downloads in the past year
Rank #15,994 · ~8/day · ~237/mo
Daily download trend is not available in this view yet.
13730 days
65890 days
2.8K1 year
Compare downloads with other packages →
Also on116 r2u17 autocran1.2K conda_forge

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.2.0data.table
Imports (2)
statsMASS
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
  • 0.1.1Latest
    2017-05-15 · current release · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.0
    2016-11-07
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-11-07
Total releases
2 / 10 yrs
License
GPL-3 OSI
Minimum R
≥ 3.2.0
Bundled data
3.4 KB / 1 file
Download size
278 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("slim")
Farewell, D. (2017). slim: Singular Linear Models for Longitudinal Data (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.slim

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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