Calculating full conditional probability using lower rate transition matrix

Source: R/ctmcProbabilistic.R

This function calculates full conditional probability at given time s using lower rate transition matrix

impreciseProbabilityatT(C,i,t,s,error,useRCpp)

Arguments

C

a ictmc class object

i

initial state at time t

t

initial time t. Default value = 0

s

final time

error

error rate. Default value = 0.001

useRCpp

logical whether to use RCpp implementation; by default TRUE

References

Imprecise Continuous-Time Markov Chains, Thomas Krak et al., 2016

Author

Vandit Jain

Examples

states <- c("n","y")
Q <- matrix(c(-1,1,1,-1),nrow = 2,byrow = TRUE,dimnames = list(states,states))
range <- matrix(c(1/52,3/52,1/2,2),nrow = 2,byrow = 2)
name <- "testictmc"
ictmc <- new("ictmc",states = states,Q = Q,range = range,name = name)
impreciseProbabilityatT(ictmc,2,0,1,10^-3,TRUE)
#> [1] 0.008259774 0.140983476