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as.ssm finds the structural form for an ARIMA model from its the eventual forecast function.
as.ssm
# S3 method for ucarima as.ssm(object, ...)as.ssm(object, ...)# S3 method for um as.ssm( object, z = NULL, msoe = TRUE, H = NULL, cform = TRUE, tol = 1.490116e-08, nonadm = c("quadprog", "nnls", "none"), envir = NULL, ... )
as.ssm(object, ...)
# S3 method for um as.ssm( object, z = NULL, msoe = TRUE, H = NULL, cform = TRUE, tol = 1.490116e-08, nonadm = c("quadprog", "nnls", "none"), envir = NULL, ... )
An object of class ssm
ssm
an object of class um.
um
other arguments.
an optional time series.
logical, TRUE for multiple source of errors and FALSE for single source of error.
an optional matrix to reduce the number of variances.
logical. TRUE for contemporaneous form and FALSE for future form.
tolerance to check if the elements of b and C are zero.
character, the method to overcome nonadmissibility: non-linear least squares, quadratic programming or none.
environment, see "um".
airl <- um(i = list(1, c(1, 12)), ma = "(1 - 0.8B)(1 - 0.8B12)") ssm1 <- as.ssm(airl, index = c(1, 0, rep(2, 11))) ssm1
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