dlmModTrig {dlm} | R Documentation |
The function creates a dlm representing a specified periodic component.
dlmModTrig(s, q, om, tau, dV = 1, dW = 0, m0, C0)
s |
the period, if integer. |
q |
number of harmonics in the DLM. |
om |
the frequency. |
tau |
the period, if not an integer. |
dV |
variance of the observation noise. |
dW |
a single number expressing the variance 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. |
The periodic component is specified by one and only one of s
,
om
, and tau
. When s
is given, the function
assumes that the period is an integer, while a period specified by
tau
is assumed to be noninteger. Instead of tau
,
the frequency om
can be specified. The argument q
specifies the number of harmonics to include in the model. When
tau
or omega
is given, then q
is required as
well, since in this case the implied Fourier representation has
infinitely many harmonics. On the other hand, if s
is given,
q
defaults to all the harmonics in the Fourier representation,
that is floor(s/2)
.
The system variance of the resulting dlm is dW
times the identity
matrix of the appropriate dimension.
An object of class dlm, representing a periodic component.
Giovanni Petris GPetris@uark.edu
Giovanni Petris (2010), An R Package for Dynamic Linear
Models. Journal of Statistical Software, 36(12), 1-16.
http://www.jstatsoft.org/v36/i12/.
Petris, Petrone, and Campagnoli, Dynamic Linear Models with
R, Springer (2009).
West and Harrison, Bayesian forecasting and
dynamic models (2nd ed.), Springer (1997).
dlmModSeas
, dlmModARMA
,
dlmModPoly
, dlmModReg
dlmModTrig(s = 3) dlmModTrig(tau = 3, q = 1) # same thing dlmModTrig(s = 4) # for quarterly data dlmModTrig(s = 4, q = 1) dlmModTrig(tau = 4, q = 2) # a bad idea! m1 <- dlmModTrig(tau = 6.3, q = 2); m1 m2 <- dlmModTrig(om = 2 * pi / 6.3, q = 2) all.equal(unlist(m1), unlist(m2))