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.