Function reference • dynamite

All functions

as.data.frame(<dynamitefit>): Extract Samples From a dynamitefit Object as a Data Frame

as.data.table(<dynamitefit>): Extract Samples From a dynamitefit Object as a Data Table

as_draws_df(<dynamitefit>) as_draws(<dynamitefit>): Convert dynamite Output to draws_df Format

categorical_example: Simulated Categorical Multivariate Panel Data

categorical_example_fit: Model Fit for the Simulated Categorical Multivariate Panel Data

coef(<dynamitefit>): Extract Regression Coefficients of a Dynamite Model

confint(<dynamitefit>): Credible Intervals for Dynamite Model Parameters

dynamice(): Estimate a Bayesian Dynamic Multivariate Panel Model With Multiple Imputation

dynamite-package: The dynamite package.

dynamite() formula(<dynamitefit>) print(<dynamitefit>) summary(<dynamitefit>): Estimate a Bayesian Dynamic Multivariate Panel Model

dynamiteformula() obs() aux() `+`(<dynamiteformula>) print(<dynamiteformula>): Model formula for dynamite

fitted(<dynamitefit>): Extract Fitted Values of a Dynamite Model

gaussian_example: Simulated Data of Gaussian Responses

gaussian_example_fit: Model Fit for the Simulated Data of Gaussian Responses

gaussian_simulation_fit: Model Fit for the time-varying example in the dynamite_simulation Vignette

get_code(): Extract the Stan Code of the Dynamite Model

get_data(): Extract the Model Data of the Dynamite Model

get_parameter_dims(): Get Parameter Dimensions of the Dynamite Model

get_parameter_names(): Get Parameter Names of the Dynamite Model

get_parameter_types(): Get Parameter Types of the Dynamite Model

get_priors(): Get Prior Definitions of a Dynamite Model

hmc_diagnostics(): HMC Diagnostics for a Dynamite Model

lags(): Add Lagged Responses as Predictors to Each Channel of a Dynamite Model

lfactor(): Define a Common Latent Factor for the Dynamite Model.

lfo(): Approximate Leave-Future-Out (LFO) Cross-validation

loo(<dynamitefit>): Approximate Leave-One-Out (LOO) Cross-validation

mcmc_diagnostics(): Diagnostic Values of a Dynamite Model

multichannel_example: Simulated Multivariate Panel Data

multichannel_example_fit: Model Fit for the Simulated Multivariate Panel Data

ndraws(<dynamitefit>): Return the Number of Posterior Draws of a dynamitefit Object

nobs(<dynamitefit>): Extract the Number of Observations Used to Fit a Dynamite Model

plot(<dynamitefit>): Traceplots and Density Plots for a dynamitefit Object

plot(<dynamiteformula>): Plot the Model Structure as a Directed Acyclic Graph (DAG)

plot(<lfo>): Diagnostic Plot for Pareto k Values from LFO

plot_betas(): Plot Time-invariant Regression Coefficients of a Dynamite Model

plot_deltas(): Plot Time-varying Regression Coefficients of a Dynamite Model

plot_lambdas(): Plot Factor Loadings of a Dynamite Model

plot_nus(): Plot Random effects of a Dynamite Model

plot_psis(): Plot Latent Factors of a Dynamite Model

predict(<dynamitefit>): Predict Method for a Dynamite Model

print(<lfo>): Print the results from the LFO

random_spec(): Additional Specifications for the Group-level Random Effects of the DMPM

splines(): Define the B-splines Used for the Time-varying Coefficients of the Model.

update(<dynamitefit>): Update a Dynamite Model