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nlmm

1.1.1

Generalized Laplace Mixed-Effects Models

0packages depend
3.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Marco GeraciFirst published 2020-03-244 releasesCRAN page ↗

Provides functions to fit linear mixed models based on convolutions of the generalized Laplace (GL) distribution. The GL mixed-effects model includes four special cases with normal random effects and normal errors (NN), normal random effects and Laplace errors (NL), Laplace random effects and normal errors (LN), and Laplace random effects and Laplace errors (LL). The methods are described in Geraci and Farcomeni (2020, Statistical Methods in Medical Research) doi:10.1177/0962280220903763.

Install

Health

CRAN checks
13OK
Slowest check: 4.4 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
12
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
25%
Documented parameters
not tracked
Return-value docs
67%
References docs
62%

Downloads

3.2K
CRAN downloads in the past year
Rank #12,856 · ~9/day · ~263/mo
Daily download trend is not available in this view yet.
19030 days
79990 days
3.2K1 year
Compare downloads with other packages →
Also on414 r2u6 autocran28 c2d4u

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.0.0nlme
Imports (11)
LinkingTo (3)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Copyright holder, Maintainer
Authors (1)
Author, Copyright holder, Maintainer
Contributors (1)
Copyright holders (1)
Author, Copyright holder, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.1Latest
    2025-07-28 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.0
    2023-11-24 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.2
    2022-12-14 · diff ↗
  • unarchivedReturned to CRAN
    2022-12-14
  • archivedRemoved from CRAN
    2022-10-23
    requires archived package 'HI'
  • 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
  • 1.0.1
    2020-03-24
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-03-24
Total releases
4 / 6 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.0
Bundled data
0.6 KB / 1 file
Download size
38 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nlmm")
Geraci, M., & Farcomeni, A. (2025). nlmm: Generalized Laplace Mixed-Effects Models (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.nlmm

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 nlmm version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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