likelihood_profile_seir: construct a likelihood profile for R_0 given data

In c97sr/learnidd: A collection of functions useful for the study of infectious disease dynamics

construct a likelihood profile for R_0 given data

Description

likelihood_profile_seir calculates the log likelihood of the model given the data, for a range of R_0. The other parameters are fixed

Usage

likelihood_profile_seir(
  incidence_data,
  current_week,
  starting_week,
  R_0_min,
  R_0_max
)

Arguments

incidence_data	incidence data extracted by extract_incidence
current_week	numeric vector of length 1: week number of the current week
starting_week	numeric vector of length 1: guess for week number when the epidemic started. Use data from starting week to current week to predict
R_0_min	numeric vector of length 1: lower bound of R_0 values over which to construct likelihood profile
R_0_max	numeric vector of length 1: upper bound of R_0 values over which to construct likelihood profile

Value

a data frame with the following columns: R_0_vec: numeric vector of R_0 values which we're scanning over log_likelihood_vec: log likelihood for those values of R_0

c97sr/learnidd documentation built on Jan. 12, 2025, 4:24 p.m.