Compute transition probabilities under a clock-forward model using a convolution algorithm.
Compute transition probabilities under a clock-forward model using a convolution algorithm.
Compute transition probabilities for a given starting state and target state under a clock-forward model, using a convolution algorithm.
probtrans_by_convolution_clockforward is an internal function of probtrans_by_convolution and is not meant to be called directly by the user.
probtrans_by_convolution_clockforward( tmat, cumhaz, from_state, to_state, spline_list, unique_paths_object, time
)
Arguments
tmat: Transition matrix.
cumhaz: msfit object.
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 cumhaz_splines.
unique_paths_object: An object created by running unique_paths.