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: 1.0.0
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
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: knitr, testthat (≥ 3.0.0)
Published: 2024-06-27
DOI: 10.32614/CRAN.package.mlts
Author: Kenneth Koslowski ORCID iD [aut, cre, cph], Fabian Münch ORCID iD [aut], Tobias Koch ORCID iD [aut], Jana Holtmann ORCID iD [aut]
Maintainer: Kenneth Koslowski <kenneth.koslowski at>
License: GPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: mlts citation info
Materials: README NEWS
CRAN checks: mlts results


Reference manual: mlts.pdf
Vignettes: Include Predictors for Random Effects on the Between Level
Vector Autoregressive Models


Package source: mlts_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlts_1.0.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): mlts_1.0.0.tgz, r-oldrel (x86_64): not available


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