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

In spedygiorgio/markovchain: Easy Handling Discrete Time Markov Chains

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)

spedygiorgio/markovchain documentation built on Feb. 29, 2024, 3:01 p.m.