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mlts

2.0.1

Multilevel Latent Time Series Models with 'R' and 'Stan'

0packages depend
3Kdownloads / year
2.1%test coverage
13/13checks pass

Overview

About
Maintained by Kenneth KoslowskiFirst published 2024-06-273 releasesCRAN page ↗GitHub ↗

Fit multilevel manifest or latent time-series models, including popular Dynamic Structural Equation Models (DSEM). The models can be set up and modified with user-friendly functions and are fit to the data using 'Stan' for Bayesian inference. Path models and formulas for user-defined models can be easily created with functions using 'knitr'. Asparouhov, Hamaker, & Muthen (2018) doi:10.1080/10705511.2017.1406803.

Install

Health

CRAN checks
13OK
Slowest check: 25.6 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.03
2.1%
Coverage · measured lines
100%
Documentation · exports
17
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
  • OK2026-07-29
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-27
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • NOTE2026-04-22
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 999 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
8%
Documented parameters
100%
Return-value docs
100%
References docs
13%

Downloads

3K
CRAN downloads in the past year
Rank #12,001 · ~8/day · ~251/mo
Daily download trend is not available in this view yet.
20230 days
82290 days
3K1 year
Compare downloads with other packages →
Also on421 r2u

Repository

Repository
9Stars
5Forks
3Open issues
1Open PRs
2Releases
418Commits
6Contributors
License GPL-3.0 · 418 commits · Last activity 2026-08-05 · +12.5% stars, 30d

Stars over time

2024-08-22 · 22026-08-04 · 9

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/munchfab/mlts on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdrevdep/
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

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

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (4)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 2.0.1Latest
    2025-12-10 · current release · diff ↗
  • 2.0.0
    2025-12-08 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.0
    2024-06-27
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-06-27
Total releases
3 / 2 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
10 KB / 2 files
Download size
2.9 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlts")
Koslowski, K., Holtmann, J., Koch, T., & Münch, F. (2025). mlts: Multilevel Latent Time Series Models with 'R' and 'Stan' (Version 2.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.mlts

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 mlts version 2.0.1 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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