statespace_kinds#

Kind parameters, constants and status codes shared by the library.

Kinds and constants#

integer, parameter :: dp = real64
real(dp), parameter :: log2pi = 1.8378770664093454835606594728112_dp
dp

The real kind of all computations.

log2pi

\(\log 2\pi\), for the Gaussian log density.

Status codes#

Routines that can fail set an info argument to one of these. The C interface returns them, and the Python package raises StateSpaceError with the code.

name

value

meaning

SS_OK

0

success

SS_ERR_DIM

1

inconsistent array dimensions or arguments

SS_ERR_NOT_PD

2

a matrix is not positive definite

SS_ERR_INIT

3

missing or invalid initialization

SS_ERR_UNSUPPORTED

4

the model is outside the routine’s scope

SS_ERR_SINGULAR

5

singular linear system

SS_ERR_NOT_STATIONARY

6

the transition matrix has an eigenvalue on or outside the unit circle

SS_ERR_NOT_CONVERGED

7

an iteration did not converge

SS_ERR_NOT_PD from a likelihood evaluation usually means the parameters are invalid, for example a negative variance; the optimizer treats it as a failed step and backs off.