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This package was removed from CRAN on 2024-04-20. Its history is shown below.
Reason: issues were not corrected despite reminders
Details below reflect version 1.1.1, its last release before removal.

SAMM

1.1.1

Some Algorithms for Mixed Models

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Overview

About
Maintained by Deniz Akdemir4 releasesCRAN page ↗

This program can be used to fit Gaussian linear mixed models (LMM). Univariate and multivariate response models, multiple variance components, as well as, certain correlation and covariance structures are supported. In many occasions, the user can pick one of the several mixed model fitting algorithms, which are explained further in the details section. Some algorithms are specific to certain types of models (univariate or multivariate, diagonal or non-diagonal residual, one or multiple variance components, etc,...).

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Tests · ratio 0.00
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Coverage
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Documentation

Documentation
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References docs
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Also on310 r2u15 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
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Imports (1)
LinkingTo (2)
Suggests (0)
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Reverse dependencies
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Code & Tests

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Package Timeline

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

  • R
    R 4.4.0 released · 2024-04-24
  • archivedRemoved from CRAN
    2024-04-20
    issues were not corrected despite reminders
  • 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
  • 1.1.1
    2018-12-06 · diff ↗
  • 1.1
    2018-11-26 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 0.0.1
    2016-07-10 · diff ↗
  • 0.0
    2016-05-12
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

Total releases
4
License
GPL-3 OSI
Download size
not tracked yet
Installed size
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With dependencies
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Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SAMM")
Akdemir, D. (n.d.). SAMM: Some Algorithms for Mixed Models (Version 1.1.1) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=SAMM

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 SAMM version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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