Package: dynamite 1.5.4

Santtu Tikka

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:Santtu Tikka [aut, cre], Jouni Helske [aut], Nicholas Clark [rev], Lucy D'Agostino McGowan [rev]

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Bug tracker:https://github.com/ropensci/dynamite/issues

On CRAN:

bayesian-inferencepanel-datastanstatistical-models

39 exports 25 stars 3.15 score 60 dependencies 435 downloads

Last updated 8 days agofrom:54dc55d68b (on main)

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