Multilevel Latent Time Series Models with 'R' and 'Stan' R package mlts version 2.0.1 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>. Software 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) Kenneth Koslowski <kenneth.koslowski@uni-leipzig.de> Comprehensive R Archive Network (CRAN) Kenneth Koslowski [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-5296-5267>), Fabian Münch [aut] (ORCID: <https://orcid.org/0000-0001-5591-9901>), Tobias Koch [aut] (ORCID: <https://orcid.org/0000-0002-8143-3566>), Jana Holtmann [aut] (ORCID: <https://orcid.org/0000-0002-7949-0772>) GPL (>= 3) 2025-12-10 application/tgz https://CRAN.R-project.org/package=mlts doi:10.32614/CRAN.package.mlts