artransform {KFAS} | R Documentation |
Mapping real valued parameters to stationary region
Description
Function artransform
transforms p
real valued parameters to
stationary region of p
th order autoregressive process using
parametrization suggested by Jones (1980). Fortran code is a converted from
stats
package's C-function partrans
.
Usage
artransform(param)
Arguments
param |
Real valued parameters for the transformation. |
Value
transformed The parameters satisfying the stationary constrains.
Note
This should in theory always work, but in practice the initial transformation
by tanh
can produce values numerically identical to 1, leading to AR coefficients
which do not satisfy the stationarity constraints. See example in logLik.SSModel
on how
to scope with those issues.
References
Jones, R. H (1980). Maximum likelihood fitting of ARMA models to time series with missing observations, Technometrics Vol 22. p. 389–395.
Examples
artransform(1:3)