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