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mlts
View on CRAN: Click
here
Download and install mlts package within the R console
Install from CRAN:
install.packages("mlts")
Install from Github:
library("remotes")
install_github("cran/mlts")
Install by package version:
library("remotes")
install_version("mlts", "1.0.0")
Attach the package and use:
library("mlts")
Maintained by
Kenneth Koslowski
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.mlts . https://github.com/munchfab/mlts/issues . https://github.com/munchfab/mlts . mlts citation info . mlts results . mlts.pdf . mlts_1.0.0.tar.gz . mlts_1.0.0.zip . mlts_1.0.0.zip . mlts_1.0.0.zip . mlts_1.0.0.tgz . mlts_1.0.0.tgz . mlts_1.0.0.tgz . mlts_1.0.0.tgz . mlts_1.0.0.tgz . mlts_1.0.0.tgz . https://CRAN.R-project.org/package=mlts .
First Published: 2024-06-27
Latest Update: 2024-06-27
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) <doi:10.1080/10705511.2017.1406803>.
How to cite:
Kenneth Koslowski (2024). mlts: Multilevel Latent Time Series Models with 'R' and 'Stan'. R package version 1.0.0, https://cran.r-project.org/web/packages/mlts. Accessed 04 Apr. 2025.
Previous versions and publish date:
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