DSIRdata

A simulated dataset from a delay SIR model specified as following:
$$\dot{S} = \rho(t)-\beta I_{\tau}S\
 \dot{I} = \beta I_{\tau}S-\gamma I$$
The parameters are set at: $\rho(t)=4000\times(\sin(t)+2)$, $\gamma = 5$,
$\beta = 0.0012$, and $\tau = 0.5$.  We simulated the numerical solution from time $t=0$ to $t=50$ and the process is then sampled regularly ten times per unit time.  Independent normal observational noise with sd = 100 is added to the numerical solution.

datasets

Functions implement collocation-inference for
stochastic process driven by distributed delay differential equations.
They also provide tools for selecting the lags for distributed delay
using shrinkage methods, estimating time-varying coefficients,
and tools for inference and prediction.

Ziqian Zhou

gpDDE

General Profiling Method for Delay Differential Equation

DSIRdata function

A matrix of two columns. The first column is the observed state <code>S</code> and the second column is the observed state <code>I</code>.

DSIRdata: Simulated dataset from a delay SIR model

Description

Usage

Arguments

format