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 (≥ 0.3.3.3.0), 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 [aut, cre, cph], Fabian Münch [aut], Tobias Koch [aut], Jana Holtmann [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 |
Reference manual: | mlts.pdf |
Vignettes: |
Include Predictors for Random Effects on the Between Level manifest_ar_example Vector Autoregressive Models |
Package source: | mlts_1.0.0.tar.gz |
Windows binaries: | r-devel: mlts_1.0.0.zip, r-release: mlts_1.0.0.zip, r-oldrel: mlts_1.0.0.zip |
macOS binaries: | r-release (arm64): mlts_1.0.0.tgz, r-oldrel (arm64): mlts_1.0.0.tgz, r-release (x86_64): mlts_1.0.0.tgz, r-oldrel (x86_64): mlts_1.0.0.tgz |
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