Package index • tbl.now

All functions

add_is_censored() add_strata() add_covariates() stable: Add attributes to a tbl_now object
add_temporal_effects() stable: Add temporal effect coding to a tbl_now
align_weeks() experimental: Align weeks to a common weekday
as_tbl_now() experimental: Transform an object into a tbl_now
`[`(<tbl_now>) `[`(<grouped_tbl_now>) stable: Subset function for tbl_now
autoplot(<tbl_now>) experimental: Diagnostic autoplot for a tbl_now
batch_shape_test() experimental: Test whether one report date drew from unusually old event dates
batch_test() experimental: Screen the report axis for batched reporting
plot_day_of_week_effects() plot_week_of_year_effects() plot_month_of_year_effects() plot_holiday_effects() plot_holiday_lag_effects() experimental: Calendar effects on the case counts or on the reporting delay
censor_delays_above() experimental: Flag reports with an implausibly long delay as censored
change_now() update_now() change_event_date() change_report_date() change_case_count() change_is_censored() change_strata() change_covariates() stable: Change/update the attributes of a tbl_now object
complete_zeroes() experimental: Complete with zeroes
compute_temporal_effects() experimental: Compute temporal effects for a tbl_now
covid_colombia: COVID-19 Notifications – Colombia 2020-2023
covid_us: covid_us: CDC COVID-19 Case Surveillance Public Use Data (2020-2021)
covidat: covidat: COVID-19 reporting data from Mexico City (2020-2022)
denguedat: denguedat: Dengue fever individual-level reporting data from Puerto Rico
diagnostic_plot() experimental: Diagnostic plots of the reporting process
flusight: flusight: NHSN Weekly Hospital Respiratory Data from FluSight
get_latest_reported_cases() get_initial_reported_cases() get_nth_reported_cases() stable: Get the latest / first / nth-delay reported cases for each event date
is_tbl_now() experimental: Check if an object is a tbl_now
is_weekday() stable: Check whether a date is a weekday vs weekend (international definition)
`$<-`(<tbl_now>) `$<-`(<grouped_tbl_now>) stable: Set accessor for tbl_now class
mpoxdat: mpoxdat: Mpox reporting data from the 2022 New York City outbreak
`names<-`(<tbl_now>) `names<-`(<grouped_tbl_now>) experimental: Set names on tbl_now class
get_event_date() get_report_date() get_strata() get_num_strata() get_covariates() get_num_covariates() get_now() get_report_units() get_event_units() get_data_type() get_temporal_effects() get_temporal_effect_cols() get_is_censored() get_case_count() experimental: Getters for tbl_now attributes
plot_cycles() experimental: Periodogram of the case counts or of the reporting delay
plot_delay_distribution() experimental: Empirical distribution of the reporting delay
plot_delay_drift() experimental: Visualise whether the reporting-delay distribution drifts over time
plot_delay_profiles() experimental: Plot the per-date delay profiles
plot_epidemic_process() experimental: Plot the epidemic process
plot_observed_cases() experimental: Observed epidemic process with the incompleteness line
plot_reporting_hexamap() experimental: Plot the reporting triangle as an age-period-cohort hexamap
plot_reporting_process() experimental: Plot the reporting process
plot_reporting_triangle() experimental: Plot the reporting triangle
plot_scalogram() experimental: Plot the reporting or epidemic scalogram
plot_transport_discriminant() experimental: Plot the transport-discriminant plane
print() stable: Print temporal effects
remove_is_censored() remove_strata() remove_all_strata() remove_covariates() remove_all_covariates() replace_temporal_effects() remove_temporal_effects() stable: Remove/replace attributes from a tbl_now object
simulate_batch() experimental: Inject a batch into a tbl_now by withholding and then releasing reports
tbl_now() experimental: Create a tbl_now object
tbl_now_attributes() stable: Show the names of the attributes of a tbl_now
tbl_now_from_baselinenowcast() tbl_now_to_baselinenowcast() experimental: Convert between tbl_now and baselinenowcast
as_tibble(<tbl_now>) as_tibble(<grouped_tbl_now>) as.data.frame(<tbl_now>) as.data.frame(<grouped_tbl_now>) experimental: Coerce a tbl_now to a tibble or a data frame
as_epidist_linelist_data(<tbl_now>) as_epidist_aggregate_data(<tbl_now>) as_reporting_triangle(<tbl_now>) as_tsibble(<tbl_now>) as.data.table(<tbl_now>) experimental: Coerce a tbl_now with another package's generic
tbl_now_from_data_table() tbl_now_to_data_table() experimental: Convert between tbl_now and data.table
tbl_now_from_epidist() tbl_now_to_epidist() experimental: Convert between tbl_now and epidist
tbl_now_from_epinowcast() tbl_now_to_epinowcast() experimental: Convert between tbl_now and epinowcast
tbl_now_from_tsibble() tbl_now_to_tsibble() experimental: Convert between tbl_now and tsibble
temporal_effects() stable: Temporal Effects Class
test_delay_changepoint() experimental: Detect an abrupt change point in the reporting-delay distribution
test_delay_drift() experimental: Test whether the reporting-delay distribution drifts over time
to_count() stable: Transform an object to count data
transport_discriminant() experimental: The transport discriminant of a reporting series
update(<tbl_now>) experimental: Update a tbl_now
validate_tbl_now() experimental: Validate a tbl_now object
week_2_date() experimental: Convert epidemiological (or ISO) week/year to aligned dates