serosv (version 1.1.0)

fp_model: A fractional polynomial model.

Description

Refers to section 6.2.

Usage

fp_model(data, p, link = "logit")

Value

a list of class fp_model with 5 items

datatype

type of data used for fitting model (aggregated or linelisting)

df

the dataframe used for fitting the model

info

a fitted glm model

sp

seroprevalence

foi

force of infection

Arguments

data

the input data frame, must either have `age`, `pos`, `tot` columns (for aggregated data) OR `age`, `status` for (linelisting data)

p

the powers of the predictor.

link

the link function for model. Defaulted to "logit".

See Also

[stats::glm()] for more information on glm object

Examples

df <- hav_be_1993_1994
model <- fp_model(
  df,
  p=c(1.5, 1.6), link="cloglog")
plot(model)