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mlmtools

1.0.2

Multi-Level Model Assessment Kit

0packages depend
2.7Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Laura JamisonFirst published 2022-09-302 releasesCRAN page ↗

Multilevel models (mixed effects models) are the statistical tool of choice for analyzing multilevel data (Searle et al, 2009). These models account for the correlated nature of observations within higher level units by adding group-level error terms that augment the singular residual error of a standard OLS regression. Multilevel and mixed effects models often require specialized data pre-processing and further post-estimation derivations and graphics to gain insight into model results. The package presented here, 'mlmtools', is a suite of pre- and post-estimation tools for multilevel models in 'R'. Package implements post-estimation tools designed to work with models estimated using 'lme4''s (Bates et al., 2014) lmer() function, which fits linear mixed effects regression models. Searle, S. R., Casella, G., & McCulloch, C. E. (2009, ISBN:978-0470009598). Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014) doi:10.18637/jss.v067.i01.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 372 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
91%

Downloads

2.7K
CRAN downloads in the past year
Rank #17,274 · ~7/day · ~222/mo
Daily download trend is not available in this view yet.
21130 days
67490 days
2.7K1 year
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Also on110 r2u26 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (3)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Code Composition
R 1,757 (78%)Rd 484 (22%)
Code characteristics
Object systems
S34
Cyclomatic complexity
15.0 median / 34 max

Test coverage

Line coverage

Expression

Tests / Examples

Functions

12 8 exported

Complexity

15 avg / 34 max

Call network

12 nodes / 2 edges

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Lowest coverage

Per-function coverage is not measured for this package yet.

Datasets

Bundled datasets · 2
NameClassRows × ColsAlso ships in
instructiondata.frame1,190 × 8
reportingdata.frame2,235 × 18

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Contributors (1)
Contributor
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
  • 1.0.2Latest
    2022-10-26 · current release · diff ↗
  • 1.0.1
    2022-09-30
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-30
Total releases
2 / 4 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
246 KB / 3 files
Download size
1.0 MB
Installed size
not tracked yet
With dependencies
not tracked yet
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