add_summaries           Add natural scale summaries of the delay
                        distribution
as_dist_spec.epidist_fit
                        Export a fitted delay distribution as a
                        'distspec' distribution
as_epidist_aggregate_data
                        Create an epidist_aggregate_data object
as_epidist_aggregate_data.data.frame
                        Create an epidist_aggregate_data object from a
                        data.frame
as_epidist_aggregate_data.default
                        Create an epidist_aggregate_data object from
                        vectors of event times
as_epidist_aggregate_data.epidist_linelist_data
                        Convert linelist data to aggregate format
as_epidist_estimates_data
                        Create an 'epidist_estimates_data' object
as_epidist_estimates_data.data.frame
                        Create an 'epidist_estimates_data' object from
                        a data frame
as_epidist_estimates_data.epidist_estimates_data
                        Return an 'epidist_estimates_data' object
                        unchanged
as_epidist_estimates_data.epidist_multivariate
                        Create an 'epidist_estimates_data' object from
                        a multivariate representation
as_epidist_estimates_data.list
                        Combine 'epidist_estimates_data' objects from
                        several studies
as_epidist_latent_model
                        Convert an object to an 'epidist_latent_model'
                        object
as_epidist_latent_model.epidist_aggregate_data
                        The latent model method for
                        'epidist_aggregate_data' objects
as_epidist_latent_model.epidist_linelist_data
                        The latent model method for
                        'epidist_linelist_data' objects
as_epidist_linelist_data
                        Create an epidist_linelist_data object
as_epidist_linelist_data.data.frame
                        Create an epidist_linelist_data object from a
                        data frame with event dates
as_epidist_linelist_data.default
                        Create an epidist_linelist_data object from
                        vectors of event times
as_epidist_linelist_data.epidist_aggregate_data
                        Convert aggregate data to linelist format
as_epidist_marginal_model
                        Convert an object to an
                        'epidist_marginal_model' object
as_epidist_marginal_model.epidist_aggregate_data
                        The marginal model method for
                        'epidist_aggregate_data' objects
as_epidist_marginal_model.epidist_linelist_data
                        The marginal model method for
                        'epidist_linelist_data' objects
as_epidist_meta_model   Convert an object to an 'epidist_meta_model'
                        object
as_epidist_meta_model.NULL
                        The meta model method for summary estimates
                        only
as_epidist_meta_model.epidist_aggregate_data
                        The meta model method for
                        'epidist_aggregate_data' objects
as_epidist_meta_model.epidist_estimates_data
                        The meta model method for
                        'epidist_estimates_data' objects
as_epidist_meta_model.epidist_linelist_data
                        The meta model method for
                        'epidist_linelist_data' objects
as_epidist_multivariate
                        Create an 'epidist_multivariate' object
as_epidist_multivariate.data.frame
                        Create an 'epidist_multivariate' object from a
                        data frame of draws
as_epidist_multivariate.matrix
                        Create an 'epidist_multivariate' object from a
                        matrix of draws
as_epidist_naive_model
                        Convert an object to an 'epidist_naive_model'
                        object
as_epidist_naive_model.epidist_aggregate_data
                        The naive model method for
                        'epidist_aggregate_data' objects
as_epidist_naive_model.epidist_linelist_data
                        The naive model method for
                        'epidist_linelist_data' objects
assert_epidist          Validation for epidist objects
assert_epidist.epidist_aggregate_data
                        Assert validity of 'epidist_aggregate_data'
                        objects
assert_epidist.epidist_estimates_data
                        Assert validity of 'epidist_estimates_data'
                        objects
assert_epidist.epidist_linelist_data
                        Assert validity of 'epidist_linelist_data'
                        objects
assert_epidist.epidist_meta_model
                        Assert validity of 'epidist_meta_model' objects
assert_epidist.epidist_multivariate
                        Assert validity of 'epidist_multivariate'
                        objects
delay_parameter_draws   Posterior draws of the delay distribution
                        parameters
delay_summary_draws     Posterior draws of the delay distribution,
                        summarised
epidist                 Fit epidemiological delay distributions using a
                        'brms' interface
epidist_data            Keep 'epidist' objects in their class
epidist_delay_draws     Keep the 'epidist_delay_draws' class through
                        'dplyr' verbs
epidist_diagnostics     Diagnostics for 'epidist_fit' models
epidist_estimates_epireview
                        Report studies from an 'epireview' parameter
                        table
epidist_estimates_parameters
                        Report a study that published the parameters of
                        a distribution it fitted
epidist_estimates_summaries
                        Report a study that published summaries of its
                        delays
epidist_family          Define 'epidist' family
epidist_family_model    The model-specific parts of an
                        'epidist_family()' call
epidist_family_model.default
                        Default method for defining a model specific
                        family
epidist_family_model.epidist_latent_model
                        Create the model-specific component of an
                        'epidist' custom family
epidist_family_model.epidist_marginal_model
                        Create the model-specific component of an
                        'epidist' custom family
epidist_family_model.epidist_meta_model
                        Create the model-specific component of an
                        'epidist' custom family
epidist_family_param.default
                        Default method for families which do not
                        require a reparameterisation
epidist_family_param.gengamma
                        Method for the 'gengamma()' family
epidist_family_prior    Family specific prior distributions
epidist_family_prior.default
                        Default family specific prior distributions
epidist_family_prior.gengamma
                        Family specific prior distributions for the
                        generalised gamma family
epidist_family_prior.lognormal
                        Family specific prior distributions for the
                        lognormal family
epidist_formula         Define a model specific formula
epidist_formula_model   The model-specific parts of an
                        'epidist_formula()' call
epidist_formula_model.default
                        Default method for defining a model specific
                        formula
epidist_formula_model.epidist_latent_model
                        Define the model-specific component of an
                        'epidist' custom formula for the latent model
epidist_formula_model.epidist_marginal_model
                        Define the model-specific component of an
                        'epidist' custom formula for the marginal model
epidist_formula_model.epidist_meta_model
                        Define the model-specific component of an
                        'epidist' custom formula for the meta model
epidist_formula_model.epidist_naive_model
                        Define the model-specific component of an
                        'epidist' custom formula for the naive model
epidist_gen_log_lik     Create a function to calculate the marginalised
                        log likelihood for double censored and
                        truncated delay distributions
epidist_gen_meta_log_lik
                        Create a function to calculate the meta model
                        log likelihood
epidist_gen_meta_predict
                        Create a function to draw from the meta model
                        posterior predictive distribution
epidist_gen_posterior_epred
                        Create a function to draw from the expected
                        value of the posterior predictive distribution
                        for a model
epidist_gen_posterior_predict
                        Create a function to draw from the posterior
                        predictive distribution for a double censored
                        and truncated delay distribution
epidist_meta_leave_one_out
                        Refit a meta model leaving each study out in
                        turn
epidist_model_prior     Model specific prior distributions
epidist_model_prior.default
                        Default model specific prior distributions
epidist_model_prior.epidist_latent_model
                        Model specific prior distributions for latent
                        models
epidist_model_prior.epidist_meta_model
                        Model specific prior distributions for the meta
                        model
epidist_newdata         Build 'newdata' for prediction from an
                        'epidist' data object
epidist_newdata.default
                        Default method for building 'newdata'
epidist_newdata.epidist_latent_model
                        Build 'newdata' for the latent model
epidist_newdata.epidist_marginal_model
                        Build 'newdata' for the marginal model
epidist_newdata.epidist_meta_model
                        Build 'newdata' for the meta model
epidist_newdata.epidist_naive_model
                        Build 'newdata' for the naive model
epidist_prior           Define custom prior distributions for epidist
                        models
epidist_stancode        Define model specific Stan code
epidist_stancode.default
                        Default method for defining model specific Stan
                        code
epidist_stancode.epidist_naive_model
                        Define the Stan code of the naive model
epidist_strata          Unique combinations of the predictors in a
                        model
epidist_transform_data_model
                        The model-specific parts of an
                        'epidist_transform_data()' call
epidist_transform_data_model.default
                        Default method for transforming data for a
                        model
epidist_transform_data_model.epidist_marginal_model
                        Transform data for the marginal model
epidist_transform_data_model.epidist_meta_model
                        Transform data for the meta model
epidist_transform_data_model.epidist_naive_model
                        Transform data for the naive model
gengamma                Generalised gamma delay distribution family
is_epidist_aggregate_data
                        Check if data has the 'epidist_aggregate_data'
                        class
is_epidist_data         Check if data has the 'epidist_data' class
is_epidist_estimates_data
                        Check if data has the 'epidist_estimates_data'
                        class
is_epidist_latent_model
                        Check if data has the 'epidist_latent_model'
                        class
is_epidist_linelist_data
                        Check if data has the 'epidist_linelist_data'
                        class
is_epidist_marginal_model
                        Check if data has the 'epidist_marginal_model'
                        class
is_epidist_meta_model   Check if data has the 'epidist_meta_model'
                        class
is_epidist_multivariate
                        Check if an object has the
                        'epidist_multivariate' class
is_epidist_naive_model
                        Check if data has the 'epidist_naive_model'
                        class
new_epidist_aggregate_data
                        Class constructor for 'epidist_aggregate_data'
                        objects
new_epidist_estimates_data
                        Class constructor for 'epidist_estimates_data'
                        objects
new_epidist_latent_model
                        Class constructor for 'epidist_latent_model'
                        objects
new_epidist_linelist_data
                        Class constructor for 'epidist_linelist_data'
                        objects
new_epidist_marginal_model
                        Class constructor for 'epidist_marginal_model'
                        objects
new_epidist_meta_model
                        Class constructor for 'epidist_meta_model'
                        objects
new_epidist_multivariate
                        Class constructor for 'epidist_multivariate'
                        objects
new_epidist_naive_model
                        Class constructor for 'epidist_naive_model'
                        objects
plot.epidist_delay_draws
                        Plot posterior draws of the delay distribution
plot_delays             Plot the observed delay distribution
plot_delays.default     Default method for plotting observed delays
plot_delays.epidist_fit
                        Plot the delays a fitted model predicts over
                        the delays it was fitted to
plot_delays.epidist_linelist_data
                        Plot the observed delays of a dataset
plot_delays.list        Compare the observed delays of several datasets
plot_events             Plot the primary and secondary event windows of
                        each case
print.epidist_multivariate
                        Print an 'epidist_multivariate' object
sierra_leone_ebola_data
                        Ebola linelist data from Fang et al. (2016)
simulate_dates          Convert simulated event times to dates
simulate_exponential_cases
                        Simulate exponential cases
simulate_gillespie      Simulate cases from a stochastic SIR model
simulate_secondary      Simulate secondary events based on a delay
                        distribution
simulate_study          Simulate the summaries a published study would
                        have reported
simulate_uniform_cases
                        Simulate cases from a uniform distribution
vcov.epidist_multivariate
                        The covariance matrix of an
                        'epidist_multivariate' object
