ENH: Improved initialize_stationary multiplication
ENH: Expanded low-memory options.
TST: Added full memory conserve test.
FIX: Fixed univariate determinant computation.
REF: Made Kalman filter dimensions Python-readable
ENH: Created a combined memory conservation flag.
ENH: Added Python statespace representation class.
FIX: State covariance shape.
REF: Improved compatibility with subclassing.
REF: nendog, nstates ... -> k_endog, k_states ...
FIX: Error if state covariance matrix is zeros
FIX: Incorrect loglikelihood in multivariate case
FIX: Incorrect variable in determinant calc.
FIX: Fixed unit tests associated with incorrect
log likelihood calculation in multivariate case
(error in Kim and Nelson GUASS code).
DOC: Typo
ENH: Added check for zero-dim states.
FIX: incorrect dimensions exception message
ENH: Allowed setting initial variance for
approximate diffuse initialization
ENH: Made the best prefix and type available as
properties.
FIX: Results incorrectly used nstates not k_states