Decision::Markov 0.03a

Decision::Markov is a Perl module with markov models for decision analysis.

SYNOPSIS

use Decision::Markov;
$model = new Decision::Markov;
$state = $model->AddState("Name",$utility);
$error = $model->AddPath($state1,$state2,$probability);
$error = $model->Check
$model->Reset([$starting_state,[$number_of_patients]]);
$error = $model->StartingState($starting_state[,$number_of_patients]);
$model->DiscountRate($rate);
($utility,$cycles) = $model->EvalMC();
$state = $model->EvalMCStep($cycle);
($utility,$cycles) = $model->EvalCoh();
$patients_left = $model->EvalCohStep($cycle);
$model->PrintCycle($FH,$cycle);
$model->PrintMatrix($FH);

This module provides functions used to built and evaluate Markov models for use in decision analysis. A Markov model consists of a set of states, each with an associated utility, and links between states representing the probability of moving from one node to the next. Nodes typically include links to themselves. Utilities and probabilities may be fixed or may be functions of the time in cycles since the model began running.