dlmModPoly {dlm}R Documentation

Create an n-th order polynomial DLM

Description

The function creates an n-th order polynomial DLM.

Usage

dlmModPoly(order = 2, dV = 1, dW = c(rep(0, order - 1), 1),
           m0 = rep(0, order), C0 = 1e+07 * diag(nrow = order)) 

Arguments

order order of the polynomial model. The default corresponds to a stochastic linear trend.
dV variance of the observation noise.
dW diagonal elements of the variance matrix of the system noise.
m0 m0, the expected value of the pre-sample state vector.
C0 C0, the variance matrix of the pre-sample state vector.

Value

An object of class dlm representing the required n-th order polynomial model.

Author(s)

Giovanni Petris, GPetris@uark.edu

References

West and Harrison, Bayesian forecasting and dynamic models (2nd ed.), Springer, 1997.

See Also

dlmModARMA, dlmModReg, dlmModSeas

Examples

## the default
dlmModPoly()
## random walk plus noise
dlmModPoly(1, dV = .3, dW = .01)

[Package dlm version 0.99-0 Index]