Package: mlts 1.0.0
Kenneth Koslowski
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>.
Authors:
mlts_1.0.0.tar.gz
mlts_1.0.0.tar.gz(r-4.5-noble)mlts_1.0.0.tar.gz(r-4.4-noble)
mlts.pdf |mlts.html✨
mlts/json (API)
NEWS
| # Installmlts in R: |
| install.packages('mlts',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/munchfab/mlts/issues
Last updated 8 days agofrom:81fbc2525a
Exports:create_missingsmlts_fitmlts_modelmlts_model_formulamlts_model_pathsmlts_plotmlts_simmlts_standardized
Dependencies:abindaskpassbackportsbase64encBHbslibcachemcallrcheckmateclicolorspacecowplotcurldescdigestdistributionaldplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegridExtragtablehighrhtmltoolsinlineisobandjquerylibjsonliteknitrlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmemoisemgcvmimemunsellmvtnormnlmenumDerivpdftoolspillarpkgbuildpkgconfigposteriorprocessxpsqpdfQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelrlangrmarkdownrstanrstantoolssassscalesStanHeaderssystensorAtibbletidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Include Predictors for Random Effects on the Between Level
Rendered frombetw_predictors.Rmdusingknitr::rmarkdownon Jun 28 2024.Last update: 2024-06-28
Started: 2024-06-28
A Simple Example: Multilevel Manifest AR(1) Model
Rendered frommanifest_ar.Rmdusingknitr::rmarkdownon Jun 28 2024.Last update: 2024-06-28
Started: 2024-06-28
Vector Autoregressive Models
Rendered frommanifest_var.Rmdusingknitr::rmarkdownon Jun 28 2024.Last update: 2024-06-28
Started: 2024-06-28
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simple Time-Series Data | ar1_data |
| Create Missings for Approximation of Continuous Time Dynamic Models (new version) | create_missings |
| Fit Bayesian Multilevel Manifest or Latent Time-Series Models | mlts_fit |
| Build a multilevel latent time series model | mlts_model |
| Create TeX Model Formula from mlts model object | mlts_model_formula |
| Create Path Diagrams from mlts model object | mlts_model_paths |
| Plot results of mlts | mlts_plot |
| Simulate data from mlts model | mlts_sim |
| Get Standardized Estimates for an mlts Model | mlts_standardized |
| Create a summary of a fitted model with class 'mltsfit' | summary.mltsfit |
| Simple Time-Series Data | ts_data |