sample_nb_Rt_piece: Uses importance resampling to infer a posterior over Rt under...

In ben18785/incidenceinflation: Estimate R0 Given Case Reporting Delays

Uses importance resampling to infer a posterior over Rt under a negative binomial renewal model

Description

Uses importance resampling to infer a posterior over Rt under a negative binomial renewal model

Usage

sample_nb_Rt_piece(
  prior_shape,
  prior_rate,
  posterior_shape,
  posterior_rate,
  kappa,
  w,
  onset_times,
  cases_df,
  ndraws,
  nresamples
)

Arguments

prior_shape	Rt prior shape parameter
prior_rate	Rt prior rate parameter
posterior_shape	Rt posterior shape parameter
posterior_rate	Rt posterior rate parameter
kappa	overdispersion parameter
w	weights corresponding to the generation times
onset_times	the onset times corresponding to the piece
cases_df	a tibble with 'cases_true' as a column which has been ordered so that the latest onset times are at the bottom
ndraws	number of draws of Rt to return
nresamples	number of resamples used to calculate weights for

Value

a vector of Rt draws

ben18785/incidenceinflation documentation built on Feb. 8, 2024, 2:36 a.m.