Call:
ddhazard(formula = survival::Surv(stop, event) ~ ddFixed(group), 
    data = head_neck_cancer, by = 1, max_T = 20, a_0 = 0, Q_0 = 1, 
    Q = 0.1, order = 1, control = list(eps = 0.1))

'logit' model fitted with the 'EKF' method in 3 iterations of the EM algorithm.

Smoothed time-varying coefficients are:
   (Intercept)       sd 
 0   -3.361807 0.4352707
 2   -3.144430 0.3373489
 4   -2.541832 0.3153470
 6   -2.199481 0.2769990
 9   -2.876340 0.3130687
11   -3.198257 0.3391213
13   -3.355439 0.3704239
16   -3.354370 0.3935089
18   -3.345334 0.4415045
20   -3.263546 0.5436136

The estimated diagonal entries of the covariance matrix in the state equation are:
(Intercept) 
  0.1142632 

The estimated fixed effects are:
ddFixed(group)1 
      0.5250931 

96 individuals used in estimation with 65 observed events.
