estimate_from_mixture: Estimate seroprevalence and foi by combining mixture model...

In serosv: Model Infectious Disease Parameters from Serosurveys

Estimate seroprevalence and foi by combining mixture model and regression

Description

Refers to section 11.2 - 11.4

Usage

estimate_from_mixture(
  age,
  antibody_level,
  threshold_status = NULL,
  mixture_model,
  s = "ps",
  sp = 83,
  monotonize = TRUE
)

Arguments

age	- vector of age
antibody_level	- vector of the corresponding raw antibody level
threshold_status	- sero status using threshold approach in line listing (optional, for visualization and comparison only)
mixture_model	- mixture_model object generated by serosv::mixture_model()
s	- smoothing basis used to fit antibody level
sp	- smoothing parameter
monotonize	- whether to monotonize seroprevalence (default to TRUE)

Value

a list of class estimated_from_mixture with the following items

df	the dataframe used for fitting the model
info	a fitted "gam" model for mu(a)
sp	seroprevalence
foi	force of infection
threshold_status	serostatus using threshold method only if provided

See Also

[mgcv::gam()] for more information about the fitted gam object

serosv documentation built on Oct. 18, 2024, 5:07 p.m.