Package index • forecasttools

All functions

bottom_up_aggregation(): Bottom up aggregration of base forecasts

copula2tbl(): Convert Copula Samples to a Tibble

count_trajectories(): Count the number of trajectories per location

create_table_for_scoring(): Create a table for scoring hub models with scoringutils

daily_to_epiweekly(): Aggregate a daily timeseries to epiweekly

download_hub(): Download a forecast hub from hub_url to directory hub_path.

epiweek_to_date(): Get a date from an epiweek and epiyear

epiyear_first_date(): Get the first date of an epidemiological year ("epiyear")

ex_inferencedata_dataframe: Example InferenceData DataFrame

example_daily_forecast_flu: An example daily-resolution set of forecast trajectories for influenza.

filter_for_scoring(): Filter a table of forecast and target data intended for scoring.

gather_hub_forecast_data(): Collect and reformat hub forecasts for scoring.

gather_location_data(): Gather location data from the forecast hub.

gather_target_data(): Gather target truth data from the forecast hub and prepare it for use with scoringutils.

get_epiweek_start(): Get the start day of an epiweek.

get_hubverse_table(): Given a set of epiweekly quantile forecasts, format them for a hubverse submission

idata_names_to_tidy_names(): Convert InferenceData column names to tidy column names

inferencedata_to_tidy_draws(): Convert InferenceData DataFrame to nested tibble of tidy_draws

location_lookup(): Look up rows of the USA location table corresponding to the entries of a given vector.

nhsn_soda_query(): Construct a Socrata open data API (SODA) query for the NSHN dataset

pivot_hubverse_quantiles_wider(): Pivot a hubverse quantile table wider with columns representing individual quantile levels.

plot_forecast_quantiles(): Plot a timeseries of quantiles

plot_hubverse_pointintervals(): Plot a table of hubverse-formatted forecasts as pointintervals

plot_hubverse_quantiles(): Plot hubverse formatted forecasts for all or a subset of forecasted locations.

plot_hubverse_quantiles_loc(): Plot hubverse formatted quantile forecasts for a given location.

plots_to_pdf(): Save a list of plots as a PDF, with a grid of nrow by ncol plots per page

pull_nhsn(): Pull NHSN data from data.cdc.gov

rank_sampled_trajectories(): Rank sampled trajectories

sample_aggregated_trajectories(): Generate sample trajectories based on ranked base forecasts

soql_is_in(): Return a soql::soql_where() construct for a given column being in a list of values

target_end_dates_from_horizons(): Get a correctly-formatted set of hubverse target_end_date values for the given reference date and set of horizons.

theme_forecasttools(): forecasttools ggplot2 theme.

to_location_table_column(): Map location format strings to corresponding location lookup table column names.

trajectories_to_quantiles(): Aggregate individual trajectory timeseries or forecasts to quantile timeseries or forecasts

update_hub(): Update the forecast hub located at the path hub_path.

us_loc_abbr_to_code(): Convert a two-letter USA location abbreviation to a two-character USA location code

us_loc_code_to_abbr(): Convert a 2-character USA location code to a 2-letter USA location abbreviation.

us_location_table: Table of US location names and codes

validate_base_forecasts(): Validate the base forecasts