Sensitivity analysis in C#

using BayesServer.Analysis;
using BayesServer.Inference;
using BayesServer.Inference.RelevanceTree;
using System;
using System.Collections.Generic;
using System.Text;

namespace BayesServer.HelpSamples
{
    public static class SensitivityAnalysisExample
    {
        public static void Main()
        {
            var network = new Network();

            // TODO download the network from the Bayes Server User Interface (or Bayes Server Online)
            // and adjust the following path
            network.Load(@"Asia.bayes");

            var visitToAsia = network.Variables["Visit to Asia", true];
            var hasLungCancer = network.Variables["Has Lung Cancer", true];
            var tuberculosisOrCancer = network.Variables["Tuberculosis or Cancer", true];
            var smoker = network.Variables["Smoker", true];
            var hasTuberculosis = network.Variables["Has Tuberculosis", true];
            var dyspnea = network.Variables["Dyspnea", true];
            var xRayResult = network.Variables["XRay Result", true];
            var hasBronchitis = network.Variables["Has Bronchitis", true];

            var xRayResultAbnormal = xRayResult.States["Abnormal", true];
            var smokerFalse = smoker.States["False", true];
            var hasLungCancerFalse = hasLungCancer.States["False", true];

            var evidence = new Evidence(network);

            // TODO set any evidence here if you need to...


            var sensitivity = new SensitivityToParameters(network, new RelevanceTreeInferenceFactory());

            var parameter = new ParameterReference(hasLungCancer.Node, new State[] {smokerFalse, hasLungCancerFalse });

            var oneWay = sensitivity.OneWay(
                evidence,
                xRayResultAbnormal,
                parameter
                );

            Console.WriteLine($"Parameter value = {oneWay.ParameterValue}");
            Console.WriteLine($"Sensitivity value = {oneWay.SensitivityValue}");
            Console.WriteLine($"P(Abnormal | e) = {oneWay.ProbabilityHypothesisGivenEvidence}");
            Console.WriteLine($"Alpha = {oneWay.Alpha}");
            Console.WriteLine($"Beta = {oneWay.Beta}");
            Console.WriteLine($"Delta = {oneWay.Delta}");
            Console.WriteLine($"Gamma = {oneWay.Gamma}");

            Console.WriteLine($"Eval(0.2) = {oneWay.Evaluate(0.2)}");
            Console.WriteLine($"Eval'(0.2) = {oneWay.EvaluateDeriv(0.2)}");


            // Expected output...

            // Parameter value = 0.99
            // Sensitivity value = -0.460164
            // P(Abnormal | e) = 0.11029004
            // Alpha = -0.460164
            // Beta = 0.5658524
            // Delta = 1
            // Gamma = 0
            // Eval(0.2) = 0.4738196
            // Eval'(0.2) = -0.460164

        }
    }
}