The incidental package provides an empirical Bayes estimator for fitting incidence curves from a specified delay distribution, which describes the probability that a case will be reported on day d after infection.
To learn more about incidental, start with the vignettes: 'browseVignettes(package = "incidental")'
fit_incidence: main function for fitting incidence.
incidence_to_df: utility function to translate output of
fit_incidence into a data frame.
plot: plots the results of
spanish_flu_delay_dist: incidence to death delay distribution for the Spanish Flu.
spanish_flu: flu mortality data for Indiana, Kansas, and Philadelphia from 1919-09-01 through 1919-12-31.
covid_delay_dist: incidence to recorded cases, hospitalization, and death delay distribution for COVID-19.
covid_new_york_city: incidence to recorded cases, hospitalization, and death for New York City for COVID-19.
Maintainer: Lauren Hannah firstname.lastname@example.org
Andrew Miller email@example.com
Nicholas Foti firstname.lastname@example.org
Joseph Futoma email@example.com
Apple, Inc. firstname.lastname@example.org [copyright holder]
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