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

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>.

Version:2.0.1
Depends:R (≥ 3.5.0)
Imports:cowplot,dplyr (≥ 1.1.3),ggplot2, methods,mvtnorm,pdftools,Rcpp (≥ 0.12.0),RcppParallel (≥ 5.0.1),rlang,rmarkdown,rstan (≥ 2.32.3),rstantools (≥ 2.4.0), stats,shape,diagram, grDevices, graphics
LinkingTo:BH (≥ 1.66.0),Rcpp (≥ 0.12.0),RcppEigen (≥ 0.3.3.3.0),RcppParallel (≥ 5.0.1),rstan (≥ 2.18.1),StanHeaders (≥2.18.0)
Suggests:knitr,testthat (≥ 3.0.0)
Published:2025-12-10
DOI:10.32614/CRAN.package.mlts
Author:Kenneth KoslowskiORCID iD [aut, cre, cph], Fabian MünchORCID iD [aut], Tobias KochORCID iD [aut], Jana HoltmannORCID iD [aut]
Maintainer:Kenneth Koslowski <kenneth.koslowski at uni-leipzig.de>
BugReports:https://github.com/munchfab/mlts/issues
License:GPL (≥ 3)
URL:https://github.com/munchfab/mlts
NeedsCompilation:yes
SystemRequirements:GNU make
Citation:mlts citation info
Materials:README,NEWS
CRAN checks:mlts results

Documentation:

Reference manual:mlts.html ,mlts.pdf
Vignettes:Include Predictors for Random Effects on the Between Level (source,R code)
manifest_ar_example (source,R code)
Vector Autoregressive Models (source,R code)

Downloads:

Package source: mlts_2.0.1.tar.gz
Windows binaries: r-devel:mlts_1.0.0.zip, r-release:mlts_2.0.1.zip, r-oldrel:mlts_2.0.1.zip
macOS binaries: r-release (arm64):mlts_2.0.1.tgz, r-oldrel (arm64):mlts_2.0.1.tgz, r-release (x86_64):mlts_2.0.1.tgz, r-oldrel (x86_64):mlts_2.0.1.tgz
Old sources: mlts archive

Linking:

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