hazard_times: Latent CTMC hazard functions

In cthmm: Latent Continuous Time Markov Chains

Description

Obtain hazard function based on specified starting states and destination state.

Usage

  hazard_times(start = 0, end, state_of_interest,
    at_risk_states, alpha, rate, length.out = 1000)

Arguments

start	start time for the hazard estimates
end	end time for the hazard estimates
state_of_interest	destination state
at_risk_states	potential states of origin
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 hazard

Value

hazard	estimated hazard at different times
times	times at which hazard is estimated

.

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
hazardA.B_0=hazard_times(start=.01,end=10,state_of_interest=c(3),
at_risk_states=c(1,2),alpha=c(1,0,0,0),rate.firstpassage.AB_0)

plot(hazardA.B_0$times,hazardA.B_0$haz,type="l",ylab="hazard",xlab="time since entrance in state A",
     main="Hazard 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.