Package index • 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

plot_betas() plot_deltas() plot_nus() plot_lambdas() plot_psis(): Deprecated Functions in the dynamite Package

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 a Gaussian Response

gaussian_example_fit: Model Fit for the Simulated Data of a Gaussian Response

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>): Plots for dynamitefit Objects

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

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

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