seit4lStoch: The stochastic SEIT4L model with constant population size

In sbfnk/fitR: Tool box for fitting dynamic infectious disease models to time series

The stochastic SEIT4L model with constant population size

Description

The stochastic SEIT4L model with constant population size, uniform prior and Poisson observation with reporting rate.

The stochastic SEIT4L model with constant population size, uniform prior and Poisson observation with reporting rate.

Format

A fitmodel object, that is a list with the following elements:

A fitmodel object, that is a list with the following elements:

Details

• name character.

• stateNames character vector.

• thetaNames character vector.

• simulate R-function.

• rPointObs R-function.

• dprior R-function.

• dPointObs R-function.

Look at the documentation of fitmodel for more details about each of these elements. You can look at the code of the R-functions by typing seit4lStoch$simulate for instance. There are some comments included.

• name character.

• stateNames character vector.

• thetaNames character vector.

• simulate R-function.

• rPointObs R-function.

• dprior R-function.

• dPointObs R-function.

Look at the documentation of fitmodel for more details about each of these elements. You can look at the code of the R-functions by typing seit4lStoch$simulate for instance. There are some comments included.

sbfnk/fitR documentation built on July 18, 2023, 3:28 p.m.