stsm {tfarima} | R Documentation |
Structural Time Series models
Description
stsm
creates an S3 object representing a time-invariant structural
time series model.
Usage
stsm(y, b, C, fSv, s2v, s2u = 1, xreg = NULL, bc = FALSE, fit = TRUE, ...)
Arguments
y |
an object of class |
b |
vector of constants. |
C |
matrix of constants. |
fSv |
function to create the covariance matrix of v_t. |
s2v |
variances of the vector error v_t in the state equation. |
s2u |
variance of the error u_t in the observation equation. |
xreg |
matrix of regressors. |
bc |
logical. If TRUE logs are taken. |
fit |
logical. If TRUE, model is fitted. |
... |
other arguments. |
Details
y_t = b'x_t + u_t (observation equation), x_t = Cx_t-1 + v_t (state equation).
Value
An object of class stsm
.
References
Durbin, J. and Koopman, S.J. (2012) Time Series Analysis
Examples
# Local level model
b <- 1
C <- as.matrix(1)
stsm1 <- stsm(Nile, b, C, s2v = c(lvl = 0.5), s2u = c(irr = 1))
stsm1
[Package tfarima version 0.3.2 Index]