pmeskeleton: Build Up a Partial Markov Model Linear Predictor List...

In simMSM: Simulation of Event Histories for Multi-State Models

Build Up a Partial Markov Model Linear Predictor List Skeleton

Description

Constructs the skeleton of a linear predictor list for partial Markov influences on basis of the transition-type definition matrix.

Usage

pmeskeleton(tmat)

Arguments

tmat	a transition-type definition matrix. This is a square matrix containing the boolean information of which exit state-types (the columns) are reachable from which entry state-type (the lines).

Details

The example below provides an intuitive description of how to suitably set up the input arguments.

Value

An incomplete (therefore the function name ends with 'skeleton') linear predictor list as used for the partial.markov.eta input argument in the function simeventhistories.

Author(s)

Holger Reulen

Examples

## Two state-type model with transient state-types 1 and 2: 
tra2 <- matrix(ncol = 2, nrow = 2, data = FALSE)
tra2[1, 2] <- tra2[2, 1] <- TRUE
pmeskeleton(tmat = tra2)
## Illness-death model (IDM) with recovery:
traIDM <- matrix(nrow = 3, ncol = 3, FALSE)
traIDM[1, 2] <- traIDM[1, 3] <- traIDM[2, 1] <- traIDM[2, 3] <- TRUE
pmeskeleton(tmat = traIDM)

simMSM documentation built on May 6, 2022, 9:05 a.m.