Description Usage Arguments Author(s) See Also
View source: R/probtrans_ebmstate.R
Compute transition probabilities for a given starting state and target state under a nonhomogeneous Markov model, using a convolution algorithm.
probtrans_by_convolution_Markov
is an internal function of
probtrans_by_convolution
and is not meant to be called directly by the user.
1 2 3 4 5 6 7 8 9  probtrans_by_convolution_Markov(
tmat,
cumhaz,
from_state,
to_state,
spline_list,
unique_paths_object,
time
)

tmat 
Transition matrix. 
cumhaz 

from_state 
Initial state. 
to_state 
Target state. 
spline_list 
A list whose elements are spline functions
approximating the cumulative hazard of making each possible transition in
the process. This is normally a list
object created by running 
unique_paths_object 
An object created by running 
time 
A vector of ordered time points. 
Rui Costa & Moritz Gerstung
probtrans_ebmstate
;
probtrans_by_convolution_semiMarkov
;
probtrans_by_convolution
;
unique_paths
;
cumhaz_splines
.
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