
Call:  mssm(fixed = formula(glm_fit), family = Gamma("log"), data = Gasoline, 
    random = ~1, ti = year, control = mssm_control(N_part = 1000L, 
        n_threads = n_threads))

Family is 'Gamma' with link 'log'.
Parameters are estimated with a Laplace approximation.
State vector is assumed to be X_t ~ N(F * X_(t-1), Q).

F estimate is
            (Intercept)
(Intercept)       0.979

Q's standard deviations estimates are
(Intercept) 
    0.00466 

Dispersion parameter estimate is 0.000291

Fixed coefficients estimates are
            (Intercept)  factor(country)BELGIUM   factor(country)CANADA 
               0.611946               -0.015306                0.213964 
 factor(country)DENMARK   factor(country)FRANCE  factor(country)GERMANY 
               0.047899               -0.012909               -0.016392 
  factor(country)GREECE  factor(country)IRELAND    factor(country)ITALY 
              -0.021870                0.047241               -0.046180 
   factor(country)JAPAN factor(country)NETHERLA   factor(country)NORWAY 
               0.006648               -0.000792                0.007680 
   factor(country)SPAIN   factor(country)SWEDEN factor(country)SWITZERL 
              -0.117247                0.075153                0.047695 
  factor(country)TURKEY     factor(country)U.K.   factor(country)U.S.A. 
              -0.053958                0.017080                0.227981 
               lincomep                   lrpmg                lcarpcap 
               0.076863               -0.056479               -0.138838 

Log-likelihood approximation is 399 
Number of parameters           24
Number of observations        342
