Target Generator for Markov-chain Random Walk Simulation

This function is a simple transition probability model based on memory-less markov-chain model. It randomly picks destination for each given transition respecting the probability distribution of each transition target. Transition probability distribution are extracted from given argument histobj. This is the default target generator engine for the transition system monte-carlo simulation. The TransitionSystem simulator engine calls this function multiple times during the sumulation.

markovchain_transition_classifier(histobj, input, ...)

Arguments

histobj

object of class TransitionSystem containing history of all transitions upto the current time current_time

input

dataframe containing transitions for which a transition end time needs to be generated

current_time

POSIXct containing the current time. All transition end times will be after the specified current time.

Value

dataframe with additional column nextStatus.