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This is the output of the following estimator, and is here to speed up some examples:

Usage

data(england_covid_poisson_age_stratified)

Format

A dataframe containing the following columns:

  • class (enum(00_04,05_09,10_14,15_19,20_24,25_29,30_34,35_39,40_44,45_49,50_54,55_59,60_64,65_69,70_74,75_79,80_84,85_89,90+)) - the class column

  • time (as.time_period) - the time column

  • incidence.fit (numeric) - the incidence.fit column

  • incidence.se.fit (numeric) - the incidence.se.fit column

  • incidence.0.025 (numeric) - the incidence.0.025 column

  • incidence.0.05 (numeric) - the incidence.0.05 column

  • incidence.0.25 (numeric) - the incidence.0.25 column

  • incidence.0.5 (numeric) - the incidence.0.5 column

  • incidence.0.75 (numeric) - the incidence.0.75 column

  • incidence.0.95 (numeric) - the incidence.0.95 column

  • incidence.0.975 (numeric) - the incidence.0.975 column

  • growth.fit (numeric) - the growth.fit column

  • growth.se.fit (numeric) - the growth.se.fit column

  • growth.0.025 (numeric) - the growth.0.025 column

  • growth.0.05 (numeric) - the growth.0.05 column

  • growth.0.25 (numeric) - the growth.0.25 column

  • growth.0.5 (numeric) - the growth.0.5 column

  • growth.0.75 (numeric) - the growth.0.75 column

  • growth.0.95 (numeric) - the growth.0.95 column

  • growth.0.975 (numeric) - the growth.0.975 column

Minimally grouped by: class (and other groupings allowed).

26790 rows and 20 columns

Details

england_covid %>% ggoutbreak::poisson_locfit_model(window=14)