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:Kenneth Koslowski [aut, cre, cph], Fabian Münch [aut], Tobias Koch [aut], Jana Holtmann [aut]

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mlts.pdf |mlts.html
mlts/json (API)
NEWS

# Install 'mlts' in R:
install.packages('mlts', repos = c('https://munchfab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/munchfab/mlts/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

5.92 score 2 stars 9 scripts 186 downloads 8 exports 83 dependencies

Last updated 4 days agofrom:095e020e47. Checks:5 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 21 2025
R-4.5-win-x86_64OKMar 21 2025
R-4.5-mac-x86_64OKMar 21 2025
R-4.5-mac-aarch64OKMar 21 2025
R-4.5-linux-x86_64OKMar 21 2025
R-4.4-win-x86_64NOTEMar 21 2025
R-4.4-mac-x86_64NOTEMar 21 2025
R-4.4-mac-aarch64NOTEMar 21 2025
R-4.4-linux-x86_64NOTEMar 21 2025
R-4.3-win-x86_64NOTEMar 21 2025
R-4.3-mac-x86_64NOTEMar 21 2025
R-4.3-mac-aarch64NOTEMar 21 2025

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 Mar 21 2025.

Last update: 2024-06-21
Started: 2024-05-16

A Simple Example: Multilevel Manifest AR(1) Model

Rendered frommanifest_ar.Rmdusingknitr::rmarkdownon Mar 21 2025.

Last update: 2024-05-16
Started: 2024-05-16

Vector Autoregressive Models

Rendered frommanifest_var.Rmdusingknitr::rmarkdownon Mar 21 2025.

Last update: 2024-05-16
Started: 2024-05-16