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kalman * | kalman_new_minimal () |
void | kalman_free () |
kalman * | kalman_new () |
int | kalman_forecast () |
int | kalman_run () |
int | is_kalman_bundle () |
gretl_matrix * | kalman_smooth () |
double | kalman_get_loglik () |
double | kalman_get_arma_variance () |
int | kalman_set_initial_state_vector () |
int | kalman_set_initial_MSE_matrix () |
void | kalman_set_arma_ll () |
void | kalman_attach_data () |
void * | kalman_get_data () |
void | kalman_attach_printer () |
PRN * | kalman_get_printer () |
kalman * kalman_new_minimal (gretl_matrix *M[]
,int copy[]
,int nmat
,int dkvar
,int *err
);
kalman * kalman_new (gretl_matrix *a
,gretl_matrix *P
,gretl_matrix *T
,gretl_matrix *BT
,gretl_matrix *ZT
,gretl_matrix *HH
,gretl_matrix *GG
,gretl_matrix *y
,gretl_matrix *x
,gretl_matrix *mu
,gretl_matrix *V
,int *err
);
Allocates and initializes a Kalman struct, which can subsequently
be used for forecasting with kalman_forecast()
.
a |
r x 1 initial state vector. |
|
P |
r x r initial precision matrix. |
|
T |
r x r state transition matrix. |
|
BT |
n x k matrix of coefficients on exogenous variables in the observation equation, transposed. |
|
ZT |
n x r matrix of coefficients on the state variables in the observation equation, transposed. |
|
VS |
r x r contemporaneous covariance matrix for the errors in the state equation. |
|
VY |
n x n contemporaneous covariance matrix for the errors in the observation equation (or NULL if this is not applicable). |
|
y |
T x n matrix of observable variable(s). |
|
x |
T x k matrix of exogenous variable(s). May be NULL if there are no exogenous variables, or if there's only a constant. |
|
mu |
r x 1 vector of constants in the state transition, or NULL. |
|
V |
T x n matrix in which to record forecast errors (or NULL if this is not required). |
|
err |
location to receive error code. |
int kalman_forecast (kalman *K
,PRN *prn
);
Generates a series of one-step ahead forecasts for y, based on
information in the kalman struct K
.
double
kalman_get_loglik (const kalman *K
);
Retrieves the log-likelhood calculated via a run of
kalman_forecast()
.
double
kalman_get_arma_variance (const kalman *K
);
Retrieves the estimated variance for an ARMA model estimated using the Kalman filter.
int kalman_set_initial_state_vector (kalman *K
,const gretl_vector *a
);
Resets the initial value of the state vector in a Kalman
struct, using the values from a
. See also kalman_new()
.
int kalman_set_initial_MSE_matrix (kalman *K
,const gretl_matrix *P
);
Resets the initial value of the MSE matrix in a Kalman
struct, using the values from P
. See also kalman_new()
.