transMat function

Define transition matrix for multi-state model

Define transition matrix for multi-state model

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.

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)

Returns

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

Details

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

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"))

Author(s)

Steven McKinney smckinney@bccrc.ca; Hein Putter H.Putter@lumc.nl

  • Maintainer: Hein Putter
  • License: GPL (>= 2)
  • Last published: 2024-07-11