Package: dynamite 1.5.4
dynamite: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2024) <doi:10.1016/j.alcr.2024.100617>. The package supports joint modeling of multiple measurements per individual, time-varying and time-invariant effects, and a wide range of discrete and continuous distributions. Estimation of these dynamic multivariate panel models is carried out via 'Stan'. For an in-depth tutorial of the package, see (Tikka and Helske, 2024) <doi:10.48550/arXiv.2302.01607>.
Authors:
dynamite_1.5.4.tar.gz
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dynamite.pdf |dynamite.html✨
dynamite/json (API)
NEWS
# Install 'dynamite' in R: |
install.packages('dynamite', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ropensci/dynamite/issues
- categorical_example - Simulated Categorical Multivariate Panel Data
- categorical_example_fit - Model Fit for the Simulated Categorical Multivariate Panel Data
- gaussian_example - Simulated Data of a Gaussian Response
- gaussian_example_fit - Model Fit for the Simulated Data of a Gaussian Response
- multichannel_example - Simulated Multivariate Panel Data
- multichannel_example_fit - Model Fit for the Simulated Multivariate Panel Data
bayesian-inferencepanel-datastanstatistical-models
Last updated 2 months agofrom:9965c27ce4 (on main). Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 13 2024 |
R-4.5-win | OK | Oct 13 2024 |
R-4.5-linux | OK | Oct 13 2024 |
R-4.4-win | OK | Oct 13 2024 |
R-4.4-mac | OK | Oct 13 2024 |
R-4.3-win | OK | Oct 13 2024 |
R-4.3-mac | OK | Oct 13 2024 |
Exports:as_drawsas_draws_dfas.data.tableauxdynamicedynamitedynamiteformulaget_algorithmget_codeget_dataget_diagnosticsget_drawsget_elapsed_timeget_max_treedepthget_model_codeget_nchainsget_ndrawsget_parameter_dimsget_parameter_namesget_parameter_typesget_pars_oiget_priorshmc_diagnosticslagslfactorlfoloomcmc_diagnosticsmice.impute.lagmice.impute.leadndrawsobsplot_betasplot_deltasplot_lambdasplot_nusplot_psisrandom_specsplines
Dependencies:abindbackportsBHcallrcheckmateclicolorspacecpp11data.tabledescdistributionalfansifarvergenericsggforceggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpatchworkpillarpkgbuildpkgconfigpolyclipposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanscalesStanHeaderssystemfontstensorAtibbletidyselecttweenrutf8vctrsviridisLitewithr
dynamite: An R Package for Dynamic Multivariate Panel Models
Rendered fromdynamite.Rmd
usingknitr::rmarkdown
on Oct 13 2024.Last update: 2024-07-13
Started: 2022-05-03
Model customization and non-MCMC estimation with dynamite
Rendered fromdynamite_custom.Rmd
usingknitr::rmarkdown
on Oct 13 2024.Last update: 2024-07-10
Started: 2024-04-23
Priors for dynamic multivariate panel models
Rendered fromdynamite_priors.Rmd
usingknitr::rmarkdown
on Oct 13 2024.Last update: 2024-07-10
Started: 2023-03-29
Simulating data from a dynamic multivariate panel model
Rendered fromdynamite_simulation.Rmd
usingknitr::rmarkdown
on Oct 13 2024.Last update: 2024-05-30
Started: 2023-03-29