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dynamite
View on CRAN: Click
here
Download and install dynamite package within the R console
Install from CRAN:
install.packages("dynamite")
Install from Github:
library("remotes")
install_github("cran/dynamite") Install by package version:
library("remotes")
install_version("dynamite", "1.6.2") Attach the package and use:
library("dynamite")
Maintained by
Santtu Tikka
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-23
Latest Update: 2025-04-07
Description:
Easy-to-use and efficient interface for
Bayesian inference of complex panel (time series) data using dynamic
multivariate panel models by Helske and Tikka (2022)
. 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, 2023)
.
How to cite:
Santtu Tikka (2022). dynamite: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data. R package version 1.6.2, https://cran.r-project.org/web/packages/dynamite. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 1.0.1 (2022-12-23 20:30), 1.1.1 (2023-02-03 12:22), 1.3.1 (2023-03-31 16:10), 1.3.3 (2023-04-18 21:20), 1.4.1 (2023-05-10 18:30), 1.4.2 (2023-05-18 13:50), 1.4.3 (2023-05-30 11:20), 1.4.5 (2023-08-23 17:50), 1.4.9 (2024-02-02 18:10), 1.5.2 (2024-05-28 09:40), 1.5.5 (2024-11-15 21:10), 1.5.6 (2025-04-07 08:40), 1.6.2 (2026-01-13 12:30)
Other packages that cited dynamite R package
View dynamite citation profile
Other R packages that dynamite depends,
imports, suggests or enhances
Complete documentation for dynamite
Functions, R codes and Examples using
the dynamite R package
Some associated functions: as.data.frame.dynamitefit . as.data.table.dynamitefit . as_draws-dynamitefit . categorical_example . categorical_example_fit . coef.dynamitefit . confint.dynamitefit . dynamite-package . dynamite . dynamiteformula . fitted.dynamitefit . gaussian_example . gaussian_example_fit . gaussian_simulation_fit . get_code . get_data . get_parameter_dims . get_parameter_names . get_parameter_types . get_priors . lags . lfactor . lfo . loo.dynamitefit . mcmc_diagnostics . multichannel_example . multichannel_example_fit . ndraws.dynamitefit . nobs.dynamitefit . plot.dynamitefit . plot.lfo . plot_betas . plot_deltas . plot_lambdas . plot_nus . plot_psis . predict.dynamitefit . print.lfo . random_spec . splines . update.dynamitefit .
Some associated R codes: as_data_frame.R . as_data_table.R . as_draws.R . ci.R . coef.R . deterministic.R . dynamite-package.R . dynamite.R . dynamiteformula.R . families.R . fitted.R . getters.R . lags.R . latent_factor.R . lfo.R . loo.R . mcmc_diagnostics.R . model_matrix.R . ndraws.R . nobs.R . plot.R . predict.R . predict_helpers.R . prepare_stan_input.R . print.R . priors.R . random.R . specials.R . splines.R . srr-stats-standards.R . stan_utilities.R . stanblocks.R . stanblocks_families.R . summary.R . update.R . utilities.R . Full dynamite package functions and examples
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