[.reporting_triangle    Subset reporting_triangle objects
[<-.reporting_triangle
                        Subset assignment for reporting_triangle
                        objects
allocate_reference_times
                        Allocate training volume based on combination
                        of defaults and user-specified values for
                        training volume for delay and uncertainty
                        estimation.
apply_delay             Apply the delay to generate a point nowcast
apply_reporting_structure
                        Apply reporting structure to generate a single
                        retrospective reporting triangle
apply_reporting_structures
                        Apply reporting structures to generate
                        retrospective reporting triangles
as.data.frame.reporting_triangle
                        Convert reporting_triangle to data.frame
as.matrix.reporting_triangle
                        Convert reporting_triangle to plain matrix
as_ChainLadder_triangle
                        Convert reporting_triangle to ChainLadder
                        triangle format
as_reporting_triangle   Create a 'reporting_triangle' object
as_reporting_triangle.data.frame
                        Create a 'reporting_triangle' object from a
                        data.frame
as_reporting_triangle.matrix
                        Create a 'reporting_triangle' from a matrix
as_reporting_triangle.triangle
                        Convert ChainLadder triangle to
                        reporting_triangle format
assert_baselinenowcast_df
                        Assert validity of 'baselinenowcast_df' objects
assert_reporting_triangle
                        Assert validity of 'reporting_triangle' objects
baselinenowcast         Generate a nowcast
baselinenowcast.data.frame
                        Create a dataframe of nowcast results from a
                        dataframe of cases indexed by reference date
                        and report date
baselinenowcast.reporting_triangle
                        Create a dataframe of nowcast results from a
                        single reporting triangle
baselinenowcast_df-class
                        Nowcast Data.frame Object
combine_obs_with_pred   Combine observed data with a single prediction
                        draw
estimate_and_apply_delay
                        Estimate and apply delay from a reporting
                        triangle
estimate_and_apply_delays
                        Estimate and apply delays to generate
                        retrospective nowcasts
estimate_and_apply_uncertainty
                        Estimate and apply uncertainty to a point
                        nowcast matrix
estimate_delay          Estimate a delay distribution from a reporting
                        triangle
estimate_uncertainty    Estimate uncertainty parameters
estimate_uncertainty_retro
                        Estimate uncertainty parameters using
                        retrospective nowcasts
example_downward_corr_rt
                        Example reporting triangle with downward
                        corrections
example_reporting_triangle
                        Simple example reporting triangle for
                        demonstrations
fit_by_horizon          Helper function that fits its each column of
                        the matrix (horizon) to an observation model.
fit_nb                  Fit a negative binomial to a vector of
                        observations and expectations
germany_covid19_hosp    Incident COVID-19 hospitalisations indexed by
                        the date of positive test (reference date) and
                        report date from Germany in 2021 and 2022.
get_delays_from_dates   Compute delays between report dates and
                        reference dates
get_delays_unit         Get delays unit from a reporting triangle
get_max_delay           Get maximum delay from reporting_triangle
get_mean_delay          Get mean delay for each row of
                        reporting_triangle
get_quantile_delay      Get quantile delay for each row of
                        reporting_triangle
get_reference_dates     Get reference dates from reporting_triangle
get_report_dates        Compute report dates from reference dates and
                        delays
get_reporting_structure
                        Get reporting structure from a reporting
                        triangle
head.reporting_triangle
                        Get first rows of a reporting_triangle
is_reporting_triangle   Check if an object is a reporting_triangle
new_baselinenowcast_df
                        Combine data from a nowcast dataframe, strata,
                        and reference dates
new_reporting_triangle
                        Class constructor for 'reporting_triangle'
                        objects
preprocess_negative_values
                        Preprocess negative values in the reporting
                        triangle
print.reporting_triangle
                        Print a reporting_triangle object
reporting_triangle-class
                        Reporting Triangle Object
sample_nb               Sample from negative binomial model given a set
                        of predictions
sample_nowcast          Generate a single draw of a nowcast combining
                        observed and predicted values
sample_nowcasts         Generate multiple draws of a nowcast combining
                        observed and predicted values
sample_prediction       Get a draw of only the predicted elements of
                        the nowcast vector
sample_predictions      Get a dataframe of multiple draws of only the
                        predicted elements of the nowcast vector
summary.reporting_triangle
                        Summarize a reporting_triangle object
syn_nssp_df             A synthetic dataset containing the number of
                        incident cases indexed by reference date and
                        report date. While data of this form could be
                        from any source, this data is meant to
                        represent the output of pre-processing the
                        syn_nssp_line_list dataset, which is a
                        synthetic patient-level line list data from the
                        United State's National Syndromic Surveillance
                        System (NSSP).
syn_nssp_line_list      A synthetic dataset resembling line-list (each
                        row is a patient) data from the United States'
                        National Syndromic Surveillance System (NSSP)
                        accessed via the Essence platform. All entries
                        are synthetic, formatted to look as close to
                        the real raw data as possible.
tail.reporting_triangle
                        Get last rows of a reporting_triangle
truncate_to_delay       Truncate reporting triangle to a specific
                        maximum delay
truncate_to_quantile    Truncate reporting_triangle to quantile-based
                        maximum delay
truncate_to_row         Truncate reporting triangle by removing a
                        specified number of the last rows
truncate_to_rows        Truncate reporting triangle by removing bottom
                        rows
validate_reporting_triangle
                        Validate a reporting_triangle object
