probtrans_by_convolution: Compute all transition probabilities from a given state using...

In ebmstate: Empirical Bayes Multi-State Cox Model

Compute all transition probabilities from a given state using convolution

Description

probtrans_by_convolution is an internal function of probtrans_ebmstate and is not meant to be called directly by the user. It is itself a wrapper for the functions probtrans_by_convolution_clockforward and probtrans_by_convolution_clockreset, which are the workhorses of the convolution algorithm.

Usage

probtrans_by_convolution(tmat, cumhaz, from_state, model, max_time, nr_steps)

Arguments

tmat	A transition matrix extracted from the cumhaz argument to probtrans_ebmstate.
cumhaz	msfit object (argument passed on from probtrans_ebmstate).
from_state	Initial state (argument passed on from probtrans_ebmstate).
model	'clockforward' or 'clockreset' (argument passed on from probtrans_ebmstate).
max_time	The maximum time for which transition probabilities are estimated.
nr_steps	The number of steps in the convolution algorithm (larger increases precision but makes it slower)

Details

For more information on the arguments of this function see probtrans_ebmstate.

Author(s)

Rui Costa & Moritz Gerstung

See Also

probtrans_ebmstate;probtrans_by_convolution_clockforward; probtrans_by_convolution_clockreset.

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