Function for fitting proportional hazard model with baseline hazard
Mstep_smooth(fix_pars, EM_est, transno, from, Pen = Pen)An object with fields:
H = hazards (matrix),
cbx = coefficient estimates (vector),
lambda = proposal for new lambda,
ed = effective dimension,
G = G matrix,
ll = log-likelihood,
pen = penalized part of log-likelihood,
Mpen = penalized M matrix
A list of fixed parameters during the EM procedure
A list of estimated quantities that change during the EM procedure
Transition number for the maximization procedure
The state from which the relevant transition is taking place.
Penalization matrix for the B-splines and regression coefficients.