sub_dist_times: Latent CTMC subdistribution functions

In cthmm: Latent Continuous Time Markov Chains

Description

Obtain subdistribution functions or transition probabilities for specified starting and destination states.

Usage

  sub_dist_times(start = 0, end, states, alpha, rate,
    length.out = 1000)

Arguments

start	start time for the hazard estimates
end	end time for the hazard estimates
states	destination state(s)
alpha	starting distribution (vector)
rate	latent CTMC rate matrix to estimate the hazard
length.out	number of points between start and end times to estimate the subdistribution function.

Value

dist	estimated subdistribution at different times
times	times at which subdistribution function is esitmated

.

Author(s)

Jane Lange

Examples

## Not run: 
library(cthmm)
data(panel_demodata)

rates.list=get.rate.matrix.list(current.params=fit.4state$param[1:8],
rate.setup=rates.setup, do.list=T)
rate.firstpassage.AB_0=rates.list[[200]]
rate.firstpassage.AB_0[3:4,]=0
cdfA.B_0=sub_dist_times(start=.01,end=10,states=3,
alpha=c(1,0,0,0),rate.firstpassage.AB_0)
plot(cdfA.B_0$times,cdfA.B_0$dist,type="l",ylab="CDF",xlab="time since entrance in state A",
     main="Cumulative distribution function for first passage time from state A to B, for covariate X=0")

## End(Not run)

cthmm documentation built on May 2, 2019, 5:46 p.m.