R: Calculating full conditional probability using lower rate...

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 0.8.6 Index]