simcs.tinf: collect cross-sectional data

In serocalculator: Estimating Infection Rates from Serological Data

collect cross-sectional data

Description

output: (age, y(t) set)

Usage

simcs.tinf(
  lambda,
  n.smpl,
  age.rng,
  age.fx = NA,
  antigen_isos,
  n.mc = 0,
  renew.params = FALSE,
  ...
)

Arguments

lambda	seroconversion rate (in events/person-day)
n.smpl	number of samples n.smpl (= nr of simulated records)
age.rng	age range to use for simulating data, in days
age.fx	age.fx for parameter sample (age.fx = NA for age at infection)
antigen_isos	Character vector with one or more antibody names. Values must match curve_params.
n.mc	when n.mc is in 1:4000 a fixed posterior sample is used when n.mc = 0 a random sample is chosen
renew.params	renew.params = TRUE generates a new parameter set for each infection renew.params = FALSE keeps the one selected at birth, but updates baseline y0
...	arguments passed to simresp.tinf()

Value

an array()

serocalculator documentation built on April 3, 2025, 7:35 p.m.