cumulativeIncidence: transition probabilities

In gems: Generalized Multistate Simulation Model

Description

Calculates the cumulative incidence and prediction intervals after first state

Usage

cumulativeIncidence(object, times, M = 100, stateNames = paste("State",
  as.list(1:dim(cohorts)[1])))

Arguments

object	either the output of simulateCohort or the matrix with the probabilities slot of that output.
times	a time vector.
M	number of groups for calculating confidence intervals.
stateNames	a list with the names of states.

Value

an object of class "PosteriorProbabilities", containing the statenames, timepoints and the cumulative incidence with pointwise prediction intervals over time.

Author(s)

Luisa Salazar Vizcaya, Nello Blaser, Thomas Gsponer

References

Nello Blaser, Luisa Salazar Vizcaya, Janne Estill, Cindy Zahnd, Bindu Kalesan, Matthias Egger, Olivia Keiser, Thomas Gsponer (2015). gems: An R Package for Simulating from Disease Progression Models. Journal of Statistical Software, 64(10), 1-22. URL http://www.jstatsoft.org/v64/i10/.

See Also

PosteriorProbabilities, ArtCohort, simulateCohort

gems documentation built on May 2, 2019, 9:42 a.m.