1. ggoutbreak::covid_ip
    A COVID-19 infectivity profile based on an empirical resampling approach
  2. ggoutbreak::covid_test_sensitivity
    Test sensitivity of PCR tests
  3. ggoutbreak::covid_viral_shedding
    The COVID-19 viral shedding duration
  4. ggoutbreak::du_serial_interval_ip
    The Du empirical serial interval dataset
  5. ggoutbreak::england_consensus_growth_rate
    The SPI-M-O England consensus growth rate
  6. ggoutbreak::england_consensus_rt
    The SPI-M-O England consensus reproduction number
  7. ggoutbreak::england_covid
    Daily COVID-19 case counts by age group in England
  8. ggoutbreak::england_covid_pcr_positivity
    England COVID-19 PCR test positivity
  9. ggoutbreak::england_covid_proportion
    England COVID by age group for ascertainment
  10. ggoutbreak::england_demographics
    England demographics
  11. ggoutbreak::england_events
    Key dated in the COVID-19 response in England
  12. ggoutbreak::england_nhs_app
    NHS COVID-19 app data
  13. ggoutbreak::england_ons_infection_survey
    The england_ons_infection_survey dataset
  14. ggoutbreak::england_variants
    Counts of COVID-19 variants
  15. ggoutbreak::ganyani_ip
    A COVID-19 infectivity profile based on an Ganyani et al 2020
  16. ggoutbreak::ganyani_ip_2
    A COVID-19 infectivity profile based on an Ganyani et al 2020
  17. ggoutbreak::germany_covid
    Weekly COVID-19 case counts by age group in Germany
  18. ggoutbreak::germany_demographics
    Germany demographics
  19. ggoutbreak::test_bpm
    An example of the linelist output of the branching process model simulation
  20. ggoutbreak::test_ip
    A test infectivity profile generated from a set of discretised gamma distributions with parameters mean 5 (95% CI 4-6) and sd 2 (95% CI 1.5-2.5).
  21. ggoutbreak::test_poisson_rt
    An example of the linelist output of the poisson model simulation with defined $R_t$
  22. ggoutbreak::test_serial
    A serial interval estimated from simulated data
  23. ggoutbreak::test_ts
    A test time series dataset
  24. huxtableone::bad_test_cols
    A list of columns for a test case
    quosures
  25. huxtableone::default.format
    Default table layout functions
  26. huxtableone::diamonds
    A copy of the diamonds dataset
  27. huxtableone::missing_diamonds
    A copy of the diamonds dataset
  28. huxtableone::mnar_two_class_1000
    Missing not at random 2 class 1000 items
  29. huxtableone::multi_class_negative
    A multi-class dataset with equal random samples in each class
  30. huxtableone::one_class_test_100
    A single-class dataset with 100 items of random data
  31. huxtableone::one_class_test_1000
    A single-class dataset with 1000 items of random data
  32. huxtableone::test_cols
    A list of columns for a test case
    quosures
  33. huxtableone::two_class_test
    A two-class dataset with random data