Package: mlts Title: Multilevel Latent Time Series Models with 'R' and 'Stan' Version: 2.0.1 Authors@R: c( person("Kenneth", "Koslowski", email = "kenneth.koslowski@uni-leipzig.de", role = c("aut", "cre", "cph"), comment = c(ORCID="0000-0001-5296-5267")), person("Fabian", "Münch", email = "fabian.felix.muench@uni-jena.de", role = "aut", comment = c(ORCID="0000-0001-5591-9901")), person("Tobias", "Koch", email = "tobias.koch@uni-jena.de", role = "aut", comment = c(ORCID="0000-0002-8143-3566")), person("Jana", "Holtmann", email = "jana.holtmann@uni-leipzig.de", role = "aut", comment = c(ORCID="0000-0002-7949-0772")) ) Description: 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) . License: GPL (>= 3) Encoding: UTF-8 RoxygenNote: 7.3.1 URL: https://github.com/munchfab/mlts BugReports: https://github.com/munchfab/mlts/issues 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 Suggests: knitr, testthat (>= 3.0.0) Config/testthat/edition: 3 Biarch: true Depends: R (>= 3.5.0) 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) SystemRequirements: GNU make VignetteBuilder: knitr LazyData: true NeedsCompilation: yes Packaged: 2026-10-29 10:55:10 UTC; root Author: Kenneth Koslowski [aut, cre, cph] (ORCID: ), Fabian Münch [aut] (ORCID: ), Tobias Koch [aut] (ORCID: ), Jana Holtmann [aut] (ORCID: ) Maintainer: Kenneth Koslowski Config/pak/sysreqs: make Repository: https://cran.r-universe.dev Date/Publication: 2025-12-10 15:41:27 UTC RemoteUrl: https://github.com/cran/mlts RemoteRef: HEAD RemoteSha: c6459f9b24efe030c7f13e93be159a8c8d17aaeb