calcRandomProfiles: Calculate Incidence Disease Profiles

In predsci/DICE: DICE: Dynamics of Interacting Community Epidemics

Description

Given an array with the MCMC history of an uncoupled DICE run randomly choose sets of parameters and use them to create disease profiles. The code works on a level of single spatial region and supports both SIR and SEIR models.

Usage

calcRandomProfiles(sh = NULL, school = NULL, pop = NULL, tab = NULL,
  tps = NULL, nRnd = 100, cadence = 7, epi_model = 1)

Arguments

sh	Numeric array with averaged specific humidity for the region
school	Numeric array with the school vacation schedule for the region
pop	Numeric - the region's total population
tab	A numeric array with the MCMC history of all the parameters (both optimized and not)
tps	A numeric array of days for the flu season - the day numbers correspond to the week numbers
nRnd	Integer - the number of random profiles that will be calculated. (Default is 100)
cadence	Integer - the cadence of the disease data
epi_model	Integer 1 = SIR 2 = SEIR

Value

profile a 2D array with each row holding a single random disease incidence profile for the region

Examples

calcRandomProfiles{sh = mydata$model$sh, school = mydata$model$school,pop = mydata$model$pop, tab = tab,
tps = tps, nRnd = 100, cadence = 7}

predsci/DICE documentation built on Aug. 9, 2019, 9:41 a.m.