probtrans_by_convolution_clockforward: Compute transition probabilities under a clock-forward model...

In ebmstate: Empirical Bayes Multi-State Cox Model

Compute transition probabilities under a clock-forward model using a convolution algorithm.

Description

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.

Usage

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.
time	A vector of ordered time points.

Author(s)

Rui Costa & Moritz Gerstung

See Also

probtrans_ebmstate; probtrans_by_convolution_clockreset; probtrans_by_convolution; unique_paths; cumhaz_splines.

ebmstate documentation built on Oct. 19, 2024, 5:08 p.m.