Package index • brech

All functions

abc_stochastic_model() plot(<abc_stochastic_model>): Approximate Bayesian Computation for Stochastic Model
add_labeled_bars_age_group(): Add Labeled Bars to a ggplot Object by Age Group
build_age_reactions(): get reaction list for an age-structured SEIR model
calculate_age_structured_beta(): Using the next generation matrix approach, calculates beta based on a fixed R0
create_age_initial_conditions(): Convert a vector of each state into a labeled state using age_groups labels
get_daily_cases(): Compute Daily Incident Cases from Cumulative Simulation Output
load_model_params(): load model parameters
plot_contact_matrix(): Plot a Contact Matrix
plot_prior_posterior(): Plot Prior and Posterior Distributions with Optional True Value
projection_stochastic_model() add_projection_date() plot(<projection_stochastic_model>) plot_projections() plot_projection_samples() plot_projections_by_age_group() create_projection_quantiles() projection_quantiles_by_age_group() projection_by_age_group() create_age_group_column() collapse_states() difference_of_states() reset_state(): Project a Stochastic Model Forward in Time
rtruncnorm(): Sample from a Truncated Normal Distribution
scenario_stochastic_model(): Create a set of scenarios that can be incorporated into projection_stochastic_model()
stochastic_model() print(<stochastic_model>) run_sim() update_parameters() update_state() interpolate_run_by_day(): Create a stochastic model
vaccinate_initial_conditions(): change vaccination coverage in initial conditions