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 (≥ 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

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_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

Linking:

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