simulate_cross_sectional: Simulates multiple cohorts in a cross-sectional framework.

In seroanalytics/serosolver: Inference Framework for Serological Data

Simulates multiple cohorts in a cross-sectional framework.

Description

Simulates multiple cohorts in a cross-sectional framework.

Usage

simulate_cross_sectional(
  parTab,
  n_indiv,
  buckets = 12,
  strainIsolationTimes,
  samplingTimes,
  antigenicMap,
  ageMin = 5,
  ageMax = 80,
  attackRates,
  group = 1,
  sampleSensoring = 0,
  titreSensoring = 0
)

Arguments

parTab	the full parameter table controlling parameter ranges and values
n_indiv	number of individuals to simulate
strainIsolationTimes	vector of strain circulation times
samplingTimes	possible sampling times for the individuals
antigenicMap	the raw antigenic map with colnames x_coord, y_coord and inf_times
ageMin	minimum age to simulate
ageMax	maximum age to simulate
attackRates	a vector of attackRates to be used in the simulation
group	which group index to give this simulated data
titreSensoring	what proportion of titres are randomly missing?

Value

a list with: 1) the data frame of titre data as returned by simulate_group; 2) a matrix of infection histories as returned by simulate_infection_histories; 3) a vector of ages

seroanalytics/serosolver documentation built on April 24, 2023, 9:52 a.m.