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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.1 |
rolling linux/jammy R-4.5 | mlts_2.0.1.tar.gz |
3.4 MiB |
2.0.1 |
rolling linux/noble R-4.5 | mlts_2.0.1.tar.gz |
3.4 MiB |
2.0.1 |
rolling source/ R- | mlts_2.0.1.tar.gz |
2.9 MiB |
2.0.1 |
latest linux/jammy R-4.5 | mlts_2.0.1.tar.gz |
3.4 MiB |
2.0.1 |
latest linux/noble R-4.5 | mlts_2.0.1.tar.gz |
3.4 MiB |
2.0.1 |
latest source/ R- | mlts_2.0.1.tar.gz |
2.9 MiB |
2.0.1 |
2026-04-26 source/ R- | mlts_2.0.1.tar.gz |
2.9 MiB |
2.0.1 |
2026-04-23 source/ R- | mlts_2.0.1.tar.gz |
2.9 MiB |
2.0.1 |
2026-04-09 windows/windows R-4.5 | mlts_2.0.1.zip |
3.9 MiB |
1.0.0 |
2025-04-20 source/ R- | mlts_1.0.0.tar.gz |
3.0 MiB |
Dependencies (latest)
Imports
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)