serosv (version 1.1.0)

lp_model: A local polynomial model.

Description

Refers to section 7.1. and 7.2.

Usage

lp_model(data, kern = "tcub", nn = 0, h = 0, deg = 2)

Value

a list of class lp_model with 6 items

datatype

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

df

the dataframe used for fitting the model

pi

fitted locfit object for pi

eta

fitted locfit object for eta

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)

kern

Weight function, default = "tcub". Other choices are "rect", "trwt", "tria", "epan", "bisq" and "gauss". Choices may be restricted when derivatives are required; e.g. for confidence bands and some bandwidth selectors.

nn

Nearest neighbor component of the smoothing parameter. Default value is 0.7, unless either h is provided, in which case the default is 0.

h

The constant component of the smoothing parameter. Default: 0.

deg

Degree of polynomial to use. Default: 2.

See Also

[locfit::locfit()] for more information on the fitted locfit object

Examples

df <- mumps_uk_1986_1987
model <- lp_model(
  df,
  nn=0.7, kern="tcub"
  )
plot(model)