Bayesian Dynamic Models for Poisson and Binomial Time Series

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Documentation for package ‘DynCount’ version 0.1.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package README

Help Pages

dynamic_prior	Specify priors for a dynamic count / binomial model
fit_dynamic_model	Fit a Bayesian dynamic count / binomial time-series model
forecast	Generic forecast function
forecast.dynamic_fit	Forecast a fitted dynamic model
med_weekly	Weekly Mediterranean crossings (Mediterranean example)
plot.dynamic_fit	Plot method for fitted dynamic models
plot_fitted	Plot observed versus fitted values
plot_forecast	Plot observed history, fitted values and forecast with uncertainty
plot_latent	Plot the fitted latent trajectory
plot_zero_inflation	Plot zero-inflation diagnostics
predict.dynamic_fit	In-sample fitted values and posterior predictive replicates
simulate_dynamic_binomial	Simulate a binomial dynamic series
simulate_dynamic_poisson	Simulate a Poisson dynamic series
structural_zero_prob	Posterior probability that each observed zero is structural
summary.dynamic_fit	Summarise a fitted dynamic model
uk_weekly	Weekly English Channel crossings (UK example)