impreciseProbabilityatT {markovchain} | R Documentation |
Calculating full conditional probability using lower rate transition matrix
Description
This function calculates full conditional probability at given time s using lower rate transition matrix
Usage
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 |
Author(s)
Vandit Jain
References
Imprecise Continuous-Time Markov Chains, Thomas Krak et al., 2016
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)
[Package markovchain version 0.9.5 Index]