R Observatory: Metrics for mlts version 2.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mlts

2.0.1Package record

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

0packages depend

3.1Kdownloads / year

2.1%test coverage

13/13flavors OK

Overview

About

Maintained by Kenneth KoslowskiCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 2.0.1

Bug Fixes

Selection of true values for data generation in mlts_sim() was spurious for residual SDs of outcome variables. Now set to 0.5.
Between-level standardization using mlts_standardized() failed for models with multiple time-invariant covariates.
mlts_paths() did not display time-invariant covariates used as outcome predictors

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)

install.packages("mlts", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("munchfab/mlts")

Development version from munchfab/mlts. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-mlts

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-mlts

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

Health

CRAN checks

13OK

Additional issues

donttest

CRAN check page ↗

Slowest check: 26.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-29
ERROR12 OK, 1 ERROR2026-07-27
OK12 OK2026-04-25

Show 3 earlier changesHide 3 earlier changes

NOTE11 OK, 3 NOTE2026-04-22
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.1

READMEYes · 999 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 2.0.1Citation fileYes · software entry only

Help pages: 15 (1 internal)includes a package overview page
Examples that run: 8%1 run in a plain check · 9 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 13%

Vignettes (3)

How these are measured

Downloads

3.1K

CRAN downloads in the past year

Rank #14,499 · ~9/day · ~260/mo

Releases R versions

Daily download trend is not available in this view yet.

32030 days

82890 days

3.1K1 year

Compare downloads with other packages →

Also on396 r2u

How downloads are counted

Repository

munchfab/mlts ↗Account: munchfab

12Stars

6Forks

5Open issues

1Open PRs

2Releases

438Commits

7Commit identities

License file reads as GPL-3.0 · 438 commits · Last activity 2026-10-21 · +33.3% stars, 30d · Default branch at 2.0.1.9000, ahead of CRAN 2.0.1 (checked 2026-10-22)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 1
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-10-13 · 32026-10-08 · 12

How these are measured

PracticesBeta

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

Checks run against github.com/munchfab/mlts on 2026-10-22.

Continuous integration (1)

GitHub Actions

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-21 · The repository has a site deploy workflow

CRAN release process (2)

cran-comments.mdrevdep/

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

21 external dependencies (excludes base and recommended)

Installing mlts adds 80 packages (42 with compiled code, 66 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)

R >= 3.5.0

Imports (17)

cowplot dplyr ggplot2methodsmvtnorm pdftools Rcpp RcppParallel rlang rmarkdown rstan rstantoolsstatsshape diagramgrDevicesgraphics

LinkingTo (6)

BH Rcpp RcppEigen RcppParallel rstan StanHeaders (>= 2.18.0)

Suggests (2)

knitr testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (4)

Author

Author

Author

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
2.0.1Latest
record
2025-12-10 · current release · diff ↗
2.0.0
record
2025-12-08 · diff ↗ ·
added 3 exports
mlts_paths, mlts_posterior_sample, mlts_pp_check
R
R 4.5.0 released · 2025-04-11
1.0.0
record
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

Cite

Cite this package

Run in R for the authors' entry:

citation("mlts")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mlts version 2.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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