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gpDDE (version 0.8.2)

General Profiling Method for Delay Differential Equation

Description

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.

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Version

Install

install.packages('gpDDE')

Monthly Downloads

9

Version

0.8.2

License

GPL (>= 2)

Maintainer

Ziqian Zhou

Last Published

December 16th, 2015

Functions in gpDDE (0.8.2)

DSIRfn.make

Make DTVSIR functions
Profile.LS.TV.DDE

Profile Estimation Functions for DDE with Time Varying Coefficients.
blowflydata

Nicholson's Blowflies Data.
sparse.DDE

Sparsity selection for the lags of delay.
DSIRdata

Simulated dataset from a delay SIR model
IntegrateForward.DDE

Intergrate Forward a DDE Model
DTVSIRfn.make

Make DTVSIR functions
DDEdiag

Time Series Diagnostics for the Residuals
Profile.LS.DDE

Profile Estimation Functions for DDE
sparse.TV.DDE

Sparsity selection for the lags of delay and time varying coefficients
DSIRInitCoefs

Initial values for the spline coefficients for the Delay SIR model
ProfileSSE.covariance.DDE

ProfileSSE.covariance.DDE
DSIR.fit

Fitted Delay SIR model
make.vector.disease.fn

Make Vector Disease functions
inneropt.DDE

Inner optimization for estmating coefficients given parameters.
forecast.DDE

Compute and Plot the Forecasts Based on a Fitted DDE Model