transMat: Define transition matrix for multi-state model

In hputter/mstate: Data Preparation, Estimation and Prediction in Multi-State Models

Define transition matrix for multi-state model

Description

Define transition matrices for multi-state model. Specific functions for defining such transition matrices are pre-defined for common multi-state models like the competing risks model and the illness-death model.

Usage

transMat(x, names)

Arguments

x	List of possible transitions; x[[i]] consists of a vector of state numbers reachable from state i
names	A character vector containing the names of either the competing risks or the states in the multi-state model specified by the competing risks or illness-death model. names should have the same length as the list x (for transMat), or either K or K+1 (for trans.comprisk), or 3 (for trans.illdeath)

Details

If names is missing, the names "eventfree", "cause1", etcetera are assigned in trans.comprisk, or "healthy", "illness", "death" in trans.illdeath.

Value

A transition matrix describing the states and transitions in the multi-state model.

Author(s)

Steven McKinney <[e-mail]>; Hein Putter <[e-mail]>

Examples

transMat(list(c(2, 3), c(), c(1, 2)),
	names = c("Disease-free", "Death", "Relapsed"))
tmat <- transMat(x = list( c(2, 3), c(1, 3), c() ),
                 names = c("Normal", "Low", "Death"))
tmat
transListn <- list("Normal" = c(2, 3), "Low" = c(1, 3), "Death" = c())
transMat(transListn)
trans.comprisk(3)
trans.comprisk(3,c("c1","c2","c3"))
trans.comprisk(3,c("nothing","c1","c2","c3"))
trans.illdeath()
trans.illdeath(c("nothing","ill","death"))

hputter/mstate documentation built on Dec. 2, 2024, 8:16 p.m.